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Postdoctoral In Bayesian Statistics Jobs in Illinois

MMS

Study Design Statistician (Remote)

Chicago, IL · On-site

Bachelors degree in mathematics, statistics, physics, pharmacology or with a strong statistical ... Experience of Bayesian approaches to design and analysis of clinical data preferred. * Experience ...

Simplex Trading

Volatility Trader

Chicago, IL · On-site

$150K - $200K/yr

Strong practical foundation in options theory and Bayesian statistics/probability. * Strong analytical judgment under uncertainty; able to operate decisively under constraints. * Precise technical ...

Biohub

Postdoctoral Fellow, Single-Cell Genomics

Chicago, IL · On-site

$50K - $68K/yr

... in inflammation biology. * Analyze and interpret large-scale, high-dimensional datasets using computational and statistical approaches, and communicate results clearly through figures, presentations ...

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Postdoctoral In Bayesian Statistics information

What is a Postdoctoral position in Bayesian Statistics?

A Postdoctoral position in Bayesian Statistics is a research-focused role for individuals who have recently completed their PhD in statistics, mathematics, or a related field. These positions involve conducting advanced research using Bayesian methods, which apply probability to infer statistical conclusions. Postdocs often work on developing new Bayesian models, collaborating on interdisciplinary projects, and publishing research findings. Such positions are typically temporary and designed to further prepare researchers for academic, industry, or governmental roles.

What are some common challenges faced by postdoctoral researchers in Bayesian statistics, and how can they be addressed?

Postdoctoral researchers in Bayesian statistics often encounter challenges such as managing complex, high-dimensional data, staying current with rapidly evolving computational methods, and balancing independent research with collaborative projects. Effective strategies include leveraging open-source statistical software, actively participating in seminars and workshops to stay updated, and establishing regular communication with interdisciplinary teams. Building a strong professional network and seeking mentorship within the department can also help in navigating research obstacles and advancing one's career.

What is the difference between Postdoctoral In Bayesian Statistics vs Postdoctoral In Data Science?

AspectPostdoctoral In Bayesian StatisticsPostdoctoral In Data Science
Required CredentialsPhD in Statistics, Mathematics, or related fieldPhD in Computer Science, Statistics, or related field
Work EnvironmentAcademic research, university labsResearch institutions, tech companies, industry labs
Employer & Industry UsageUniversities, research institutesTech firms, finance, healthcare, consulting
Common Search & Comparison IntentSpecialized research roles in Bayesian methodsBroader data analysis and machine learning roles

Postdoctoral In Bayesian Statistics focuses on advanced research in Bayesian methods within academic settings, requiring deep statistical expertise. In contrast, Postdoctoral In Data Science covers a broader range of data analysis techniques, including machine learning, often in industry environments. Both roles require a PhD but differ in application focus and work environment.

What are the key skills and qualifications needed to thrive as a Postdoctoral Researcher in Bayesian Statistics, and why are they important?

To thrive as a Postdoctoral Researcher in Bayesian Statistics, you need an advanced degree (typically a PhD) in statistics or a related field, with strong expertise in Bayesian inference and probabilistic modeling. Proficiency with statistical programming languages such as R, Python, or Stan, and experience with specialized Bayesian analysis software are highly valued. Excellent problem-solving skills, collaboration, and the ability to communicate complex statistical concepts clearly are standout soft skills for this role. These skills and qualities are crucial for conducting rigorous research, publishing impactful results, and contributing effectively to scientific teams.
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Postdoctoral In Bayesian Statistics jobs near you
Postdoctoral Researcher in AI-Enabled Autonomous Materials Discovery

Postdoctoral Researcher in AI-Enabled Autonomous Materials Discovery

Argonne National Laboratory

Lemont, IL

$72K - $121K/yr

Full-time

Posted 7 days ago

Job description

The Nanoscience and Technology Division and the Center for Nanoscale Materials (CNM) at Argonne National Laboratory invite applications for aPostdoctoral Researcher or Argonne Associateposition. We seek a highly motivated candidate to contribute to an interdisciplinary research effort at the intersection ofmaterials science, laboratory automation, and artificial intelligence.

This position will support the development of anAI-enabled autonomous experimentation (AI/AE) platformaimed at accelerating materials discovery. Research areas of interest include, but are not limited to,organic crystal growthandstructure-property relationship discovery.

The successful candidate will join a highly collaborative research environment that integratesrobotic experimentation, advanced characterization, and machine learning. The role offers the opportunity to leverage Argonne's world-class scientific capabilities and engage with a strong network of internal and industry collaborators.

Position Requirements

  • Recent or soon-to-be-completed PhD (within the last 0-5 years) in chemical engineering, materials science, chemistry, or a closely related field

  • Expertise incrystallization science, including solubility behavior, nucleation kinetics, and polymorph screening

  • Experience with characterization techniques such asUV/Vis spectroscopyandX-ray diffraction (XRD)

  • Experience working withautomatedorhigh-throughput laboratory systems

  • Proficiency inPythonor similar programming languages for data processing, statistical analysis, and integration withAI/ML tools

  • Excellentwritten and verbal communication skills

  • Demonstrated ability to work effectively in acollaborative, interdisciplinary research environment

  • Ability to model Argonne's core values of impact, safety, respect, integrity, and teamwork

Application Materials:

Please upload the following materials as attachments to your application inWorkday:

  • CV/Resume

  • Unofficial Ph.D. transcripts

  • If already awarded, acopy of the Ph.D. diploma

Job Family

Postdoctoral

Job Profile

Postdoctoral Appointee

Worker Type

Long-Term (Fixed Term)

Time Type

Full timeThe expected hiring range for this position is $72,879.00-$121,465.00.

Please note that the pay range information is a general guideline only. The pay offered to a selected candidate will be determined based on factors such as, but not limited to, the scope and responsibilities of the position, the qualifications of the selected candidate, business considerations, internal equity, and external market pay for comparable jobs. Additionally, comprehensive benefits are part of the total rewards package.

Click here to view Argonne employee benefits!

As an equal employment opportunity employer, and in accordance with our core values of impact, safety, respect, integrity and teamwork, Argonne National Laboratory is committed to a safe and welcoming workplace that fosters collaborative scientific discovery and innovation. Argonne encourages everyone to apply for employment. Argonne is committed to nondiscrimination and considers all qualified applicants for employment without regard to any characteristic protected by law.

Argonne employees, and certain guest researchers and contractors, are subject to particular restrictions related to participation in Foreign Government Sponsored or Affiliated Activities, as defined and detailed in United States Department of Energy Order 486.1A. You will be asked to disclose any such participation in the application phase for review by Argonne's Legal Department.

All Argonne offers of employment are contingent upon a background check that includes an assessment of criminal conviction history conducted on an individualized and case-by-case basis. Please be advised that Argonne positions require upon hire (or may require in the future) for the individual be to obtain a government access authorization that involves additional background check requirements. Failure to obtain or maintain such government access authorization could result in the withdrawal of a job offer or future termination of employment.

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