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Temporary Infosys Machine Learning Jobs in Virginia

Carter Machinery

TEMPORARY WAREHOUSE

Mechanicsville, VA

$12.77 - $15.66/hr

At Carter Machinery, we don't just offer jobs - we offer long-term careers defined by purpose ... Shift differential (if applicable) You'll gain access to real learning, real advancement, and a ...

Carter Machinery

TEMPORARY WAREHOUSE

Mechanicsville, VA · On-site

$12.77 - $15.66/hr

At Carter Machinery, we don't just offer jobs - we offer long-term careers defined by purpose ... Shift differential (if applicable) You'll gain access to real learning, real advancement, and a ...

Aerotek

Machine Operator

Richmond, VA

$20.81/hr

Machine Operator The New Hire Utility role supports tube mill operations by learning to operate and ... If eligible, the benefits available for this temporary role may include the following: * Medical ...

Aerotek

Machine Operator

Richmond, VA · On-site

$20/hr

... tasks, learning to operate machinery, and contributing to safe and efficient operations. The ... If eligible, the benefits available for this temporary role may include the following: * Medical ...

Kraft Heinz

Machine Operator 3 - Shift

Winchester, VA

$22/hr

Hourly Hourly Wage: $22.00 with no experience Temp to Permanent Function: Operations The statements ... We offer events, resources, and learning opportunities that inspire aphysical, social, emotional ...

HII

$74K - $85K/yr

Knowledge of temporary lighting and power distribution systems * Ability to read and interpret ... HII's diverse workforce includes skilled tradespeople; artificial intelligence, machine learning ...

Molson Coors

Temporary Brewery Worker

Elkton, VA · On-site

$20/hr

... all machinery, making necessary operational adjustments, and ensuring equipment is running ... Ability to grow and develop your career centered around our First Choice Learning opportunities

Molson Coors

Temporary Brewery Worker

Elkton, VA · On-site

$20/hr

... all machinery, making necessary operational adjustments, and ensuring equipment is running ... Ability to grow and develop your career centered around our First Choice Learning opportunities

Leinenkugel's

Temporary Brewery Worker

Elkton, VA

$20/hr

... all machinery, making necessary operational adjustments, and ensuring equipment is running ... Ability to grow and develop your career centered around our First Choice Learning opportunities

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Temporary Infosys Machine Learning information

What is the difference between Temporary Infosys Machine Learning vs Temporary Infosys Data Analyst?

AspectTemporary Infosys Machine LearningTemporary Infosys Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related; knowledge of ML algorithmsBachelor's in Statistics, Data Science, or related; proficiency in data visualization
Work EnvironmentDeveloping ML models, programming in Python/R, experimenting with algorithmsData cleaning, analysis, reporting, using SQL and BI tools
Employer & Industry UsageTech companies, consulting firms, industries adopting AI/ML solutionsFinance, healthcare, retail, industries relying on data insights

Temporary Infosys Machine Learning roles focus on developing and implementing machine learning models, requiring programming and algorithm knowledge. In contrast, Temporary Infosys Data Analyst positions emphasize data interpretation, reporting, and visualization. Both roles are vital in data-driven industries but differ in technical depth and daily tasks.

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Postdoctoral Research Associate

University of Virginia

Charlottesville, VA • On-site

Full-time

Re-posted 27 days ago

University Of Virginia rating

7.9

Company rating: 7.9 out of 10

Based on 35 frontline employees who took The Breakroom Quiz

208th of 618 rated colleges and universities

Job description

We are looking for a highly motivated Postdoctoral Research Associate to join the Platig Lab at the University of Virginia. The candidate would be part of an interdisciplinary team of computational biologists, data scientists, and RNA biologists investigating the role of alternative splicing in Type 1 Diabetes (T1D). The project will leverage large-scale generation (400+ samples) of long-read RNA-seq from CD4+ T cells in a T1D cohort across multiple time points. A core aim of this project will be to develop interpretable machine learning approaches to understand how RNA binding proteins (RBPs) regulate observed splicing changes and to test putative mechanisms experimentally.
This is a unique opportunity to work at the intersection of machine learning, RNA biology, and immunology, with translational relevance to T1D.
Postdoctoral employment is temporary and is normally limited to an individual who has been awarded a Ph.D. or equivalent doctorate within the previous five years and who will be involved in full-time research or scholarship at the University. Employment as a Postdoctoral Research Associate is viewed as training and is preparatory for a full-time academic or research career, is supervised by a senior scholar, and allows the appointee to publish the results of his/her research or scholarship during the training period
This is a 12-month appointment with the possibility of renewal contingent upon satisfactory performance and the availability of funding.
Responsibilities
  • Integrate long-read and short-read RNA-seq with RBP data (motifs, eCLIP) for splicing and isoform analysis
  • Develop machine learning methods to predict functional RNA regulatory elements
  • Collaborate with wet-lab partners to design follow-up experiments
  • Publish findings and present at national conferences
  • Contribute to grant writing and mentorship of graduate students

Minimum Qualifications
  • PhD (awarded or imminent) in bioinformatics, computational biology, or a closely related field
  • Demonstrated experience using long- or short-read RNA-seq to understand alternative splicing
  • Experience using machine learning techniques in genomics
  • Strong publication record
  • Ability to communicate computational techniques to a broad audience

Preferred Qualifications
  • Experience modeling RNA binding proteins
  • Familiarity with T1D
  • Experience with machine learning interpretability approaches (xAI)

Physical Demands
This is primarily a sedentary job involving extensive use of desktop computers. The job does occasionally require traveling some distance to attend meetings, and programs.
Salary will be commensurate with education, experience, and NIH guidelines.
This is an Exempt-level, benefitted position. For more information on the benefits available to postdoctoral associates at UVA, visit postdoc.virginia.edu and hr.virginia.edu/benefits .
This position is based in Charlottesville, VA, and must be performed fully on-site.
To learn more about UVA and in the Charlottesville area, visit UVA Life and Embark CVA .
Application review/deadline This position will remain open until filled.
Background checks and pre-employment health screenings will be conducted on all new hires prior to employment.
Please apply online through Online and search for R0083627. Complete the application and upload the following required materials:
Internal applicants may search and apply for jobs on the UVA Internal Careers website .
  • Cover letter
  • Resume

Upload all materials into the resume submission field. You can submit multiple documents into this one field or combine them into one PDF. Applications without all required documents will not receive full consideration.
Internal applicants may search and apply for jobs on the UVA Internal Careers website .
Reference checks will be completed by UVA's third-party partner, SkillSurvey, during the final phase of the interview. Five references will be requested, with at least three responses required.
For questions about the application process, please contact Bill Crane, Xer5ff@virginia.edu.
For questions about the position, please contact Jennifer Dean, jmdean@virginia.edu
The University of Virginia is an equal opportunity employer. All interested persons are encouraged to apply, including veterans and individuals with disabilities. Learn more about UVA's commitment to non-discrimination and equal opportunity employment .

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About University of Virginia

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The University of Virginia is distinctive among institutions of higher education. Founded by Thomas Jefferson in 1819, the University sustains the ideal of developing, through education, leaders who are well-prepared to shape the future of the nation.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Charlottesville, VA, US

Year founded

1819

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