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Remote Computational Modeling Jobs in Pennsylvania

$48K - $65K/yr

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Apply and develop bioinformatic pipelines, statistical models, and computational tools to assess ...

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... of computational and theoretical chemistry. Research will involve the modeling of molecular ...

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Develop and evaluate reliability and failure models for complex naval or defenserelated systems

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Also, you will use RF propagation models to analyze the effectiveness of engineering products ...

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... models. The research program in the Girirajan laboratory focuses on integrating family-based ...

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Expertise with numerical weather models, Lagrangian particle dispersion models and atmospheric ...

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Modify and test EM propagation and antenna models * Implement various methods from published works ...

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... The final candidate will: o Develop phase-field models and computer codes of mesoscale structure ...

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Work alongside experts in materials science, metallurgy, engineering and performance modeling to ...

Signal Integrity Engineer

Wayne, PA · On-site +1

$151K/yr

... computational challenges with our next-generation networking solutions. We are a fast-growing ... Perform SI simulation including modeling, pre/post-data processing and analysis * Support high ...

Showing results 41-60

Remote Computational Modeling information

What are the key skills and qualifications needed to thrive as a remote computational modeling specialist, and why are they important?

To excel in Remote Computational Modeling, you need a strong background in mathematics, physics, and computer science, often supported by a relevant degree such as in engineering or applied sciences. Proficiency with modeling software (like MATLAB, ANSYS, or COMSOL), programming languages (such as Python or C++), and cloud computing platforms is typically required. Outstanding analytical thinking, problem-solving abilities, and effective remote communication skills set top candidates apart. These competencies ensure accurate model development, efficient collaboration, and the ability to deliver reliable results in a remote work environment.

What is remote computational modeling?

Remote computational modeling is the process of creating and simulating mathematical models of real-world systems using computer software, performed from a location outside a traditional office or laboratory setting. Professionals in this field use specialized software to analyze complex data, make predictions, and solve scientific or engineering problems, all while collaborating virtually with teams or clients. This remote setup allows for greater flexibility and access to global projects, making it an attractive option for computational scientists, engineers, and analysts.

What is the difference between Remote Computational Modeling vs Remote Data Analysis?

AspectRemote Computational ModelingRemote Data Analysis
Required CredentialsDegree in computational science, engineering, or related fields; programming skillsDegree in statistics, data science, or related fields; analytical skills
Work EnvironmentCollaborative teams, research labs, or industry projects involving simulationsData-focused environments, business analytics, or research settings
Industry UsageEngineering, scientific research, product developmentBusiness, marketing, healthcare, finance
Search & Comparison IntentUnderstanding roles involving simulation and modeling techniquesAnalyzing data sets to derive insights

Remote Computational Modeling involves creating simulations and models to predict or analyze complex systems, often requiring programming and scientific expertise. Remote Data Analysis focuses on examining data sets to extract meaningful insights, typically using statistical tools. While both roles require analytical skills and often overlap in technical knowledge, they serve different purposes within industries like engineering, research, and business.

What are some common challenges faced by professionals in remote computational modeling roles, and how can they be addressed?

Professionals in remote computational modeling often face challenges such as maintaining effective communication with team members, managing complex simulations across distributed systems, and staying aligned with project goals without in-person oversight. To overcome these obstacles, it's important to leverage collaboration tools, establish regular check-ins with your team, and document your work thoroughly. Additionally, setting up a reliable remote work environment with necessary software and high-speed internet can help ensure productivity and minimize technical disruptions.
What are the most commonly searched types of Computational Modeling jobs in Pennsylvania? The most popular types of Computational Modeling jobs in Pennsylvania are:
What are popular job titles related to Remote Computational Modeling jobs in Pennsylvania? For Remote Computational Modeling jobs in Pennsylvania, the most frequently searched job titles are:
What cities in Pennsylvania are hiring for Remote Computational Modeling jobs? Cities in Pennsylvania with the most Remote Computational Modeling job openings:

Postdoctoral Scholar, Department of Anthropology

The Pennsylvania State University

On-site, Remote

$48K - $65K/yr

Full-time

Re-posted 25 days ago


Job description

APPLICATION INSTRUCTIONS:
  • CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process. Please do not apply here, apply internally through Workday.
  • CURRENT PENN STATE STUDENT (not employed previously at the university) and seeking employment with Penn State, please login to Workday to complete the student application process. Please do not apply here, apply internally through Workday.
  • If you are NOT a current employee or student, please click "Apply" and complete the application process for external applicants.

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional information on remote work at Penn State, seeNotice to Out of State Applicants.

This is a term position; length of the term will be discussed during the interview process. Continuation past the termlengthdiscussed willbebasedonuniversityneed,performance,and/oravailabilityoffunding.

POSITION SPECIFICS

The Department of Anthropology at The Pennsylvania State University invites applications for a Postdoctoral Scholar to investigate the relationship between oral health, race/ethnicity, and the human oral microbiome using the CDC National Health and Nutrition Examination Survey (NHANES). This NIH-funded position will focus on understanding how oral microbial communities mediate differences in oral and systemic health using an evolutionary health framework. There will be a specific emphasis on applying advanced bioinformatics and statistical approaches to large, population-level datasets in this research. The successful candidate will join the microARCH team led by Dr. Laura Weyrich. MicroARCH is situated within the Department of Anthropology and the One Health Microbiome Center and collaborates with an international, interdisciplinary team across anthropology, microbiology, and dental health.

Responsibilities:

Analyze oral microbiome data from NHANES and related datasets to identify patterns linked to oral health outcomes and health disparities.

Apply and develop bioinformatic pipelines, statistical models, and computational tools to assess associations between microbial composition, oral health status, race/ethnicity, and broader measures of health.

Contribute to manuscripts, conference presentations, and grant applications in this research area.

Collaborate across a team of faculty, postdocs, and students in anthropology, microbiology, and public health.

Engage with broader discussions on the ethical and social dimensions of oral microbiome research, particularly in the context of health inequalities.

Required Qualifications:

A Ph.D. in Anthropology, Microbiology, Epidemiology, Public Health, Biostatistics, Computational Biology, or a related field at the time of appointment.

Demonstrated expertise in bioinformatics, statistics, microbiome data analysis, and/or computational methods.

Experience working with large population-level datasets (e.g., NHANES data sets or other large-scale equivalent).

A strong record of peer-reviewed publications and scientific communication.

Commitment to research that integrates biological, social, and ethical perspectives on oral health.

Preferred Qualifications:

Experience analyzing oral microbiome datasets (16S, shotgun metagenomics, or metatranscriptomics).

Advanced programming and data science skills in R, Python, or other relevant languages.

Familiarity with frameworks for studying race, racism, and health disparities.

Experience developing reproducible pipelines and working in high-performance computing environments.

The College of the Liberal Arts is committed to offering professional growth and promotional opportunities for non-tenure-line faculty appointments. Information on faculty ranks and progression can be found at https://policy.psu.edu/policies/ac21

Interested candidates must submit an online application at Penn State's Job Posting Board, and should upload the following application materials: a cover letter describing research background, experience in bioinformatics/statistics and/or with complex survey data (e.g., with sampling weights), and interest in the position, an up-to-date curriculum vitae, a two-page research statement outlining their broad research interests and how these connect to their long-term career goals, and contact information for three references. System limitations allow for a total of 5 documents (5mb per document) as part of your application. Please combine materials to meet the 5-document limit.

For information on the position, please contact Tina Rader at tmp5775@psu.edu.

Visit our website at https://anth.la.psu.edu/ for more information about Penn State's Department of Anthropology.

Review of applications will begin immediately and continue until the position is filled.

BACKGROUND CHECKS/CLEARANCES

Employment with the University will require successful completion of background check(s) in accordance with University policies.

BENEFITS

Penn State provides a competitive benefits package for full-time employees designed to support both personal and professional well-being.

For more detailed information, please visit ourBenefits Page. (Note: For Postdoctoral benefits, please see our Postdoctoral Benefits page.)

CAMPUS SECURITY CRIME STATISTICS

Pursuant to the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act and the Pennsylvania Act of 1988, Penn State publishes a combined Annual Security and Annual Fire Safety Report (ASR). The ASR includes crime statistics and institutional policies concerning campus security, such as those concerning alcohol and drug use, crime prevention, the reporting of crimes, sexual assault, and other matters. The ASR is available for review here.

EEO IS THE LAW

Penn State is an equal opportunity employer and is committed to providing employment opportunities to all qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If you are unable to use our online application process due to an impairment or disability, please contact 814-865-1473.

Penn State is committed to and accountable for advancing equity, respect, and belonging. We embrace individual uniqueness, as well as a culture of belonging that supports equity initiatives, leverages the educational and institutional benefits of inclusion in society, and provides opportunities for engagement intended to help all members of the community thrive. We value belonging as a core strength and an essential element of the university's teaching, research, and service mission.

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About Pennsylvania State University

Sourced by ZipRecruiter

Pennsylvania State University, often referred to as Penn State, is a major, public, research-intensive university located in University Park, PA, US. This esteemed institution serves as an important player within the education industry, offering a plethora of academic programs across various disciplines. The university was founded in 1855 with the mission to provide quality education, advanced research, and service to society. Penn State holds firmly to values of integrity, respect, and excellence, fostering a diverse and inclusive community. The university is renowned for its research productivity and its high-ranking programs in areas like engineering, business, and education. One notable achievement of the institution is its designation as a "R1: Doctoral Universities – Very high research activity," demonstrating its commitment to scholarship and discovery.

Industry

Education

Company size

11 - 50 Employees

Headquarters location

University Park, PA, US

Year founded

1855

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