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Associate Machine Learning Government Jobs in Indiana

S. government issued security clearance is required.? U.S. citizenship is required, as only U.S ... Experience leveraging Generative AI and Machine Learning to improve productivity, collaboration ...

S. government issued security clearance is required.​ U.S. citizenship is required, as only U.S ... Experience leveraging Generative AI and Machine Learning to improve productivity, collaboration ...

... government facilities, and retailers. Our AI-powered security solutions integrate advanced video analytics, machine learning, and embedded intelligence to enable proactive threat detection, enhanced ...

Acquisition Management Analyst

Crane, IN · On-site

$77K - $104K/yr

... Machine Learning, Cyber Security and Cutting-Edge Technology across the US Government. Be a part of something special! Provide Acquisition Specialist support to our US Navy client. Analysts must be ...

Acquisition Management Analyst

Crane, IN · On-site

$77K - $104K/yr

... Machine Learning, Cyber Security and Cutting-Edge Technology across the US Government. Be a part of something special! Provide Acquisition Specialist support to our US Navy client. Analysts must be ...

Acquisition Management Analyst

Crane, IN · On-site

$77K - $104K/yr

... Machine Learning, Cyber Security and Cutting-Edge Technology across the US Government. Be a part of something special! Provide Acquisition Specialist support to our US Navy client. Analysts must be ...

Specialist II- Technical Trainer

Greenfield, IN · On-site

$31.25 - $41.50/hr

... Associates, Machine Maintenance, Facilities Maintenance personnel, and other technical associates. Utilizing Training Within Industry (TWI) methodologies, adult learning principles, and industry ...

... government clients. Founded in 1998, BCforward has grown with our customers needs into a full ... Apply statistical modeling, machine learning, and NLP to large-scale support interactions such as ...

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Associate Machine Learning Government information

What is the difference between Associate Machine Learning Government vs Data Scientist Government?

AspectAssociate Machine Learning GovernmentData Scientist Government
Required CredentialsBachelor's degree in CS, Data Science, or related field; some roles may require certifications in ML or AIBachelor's or Master's in Data Science, Statistics, or related; certifications like CAP or DASCA are common
Work EnvironmentGovernment agencies, research labs, or defense sectors; focus on ML model development and deploymentGovernment agencies, policy analysis, research; focus on data analysis, modeling, and insights
Employer & Industry UsageFederal, state, or local government; defense, intelligence, or public servicesGovernment departments, research institutions, public policy agencies

Associate Machine Learning Government and Data Scientist Government roles often overlap in credentials and work environment, but the former emphasizes ML model development, while the latter focuses on broader data analysis and insights within government sectors.

What are popular job titles related to Associate Machine Learning Government jobs in Indiana? For Associate Machine Learning Government jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Associate Machine Learning Government jobs in Indiana look for? The top searched job categories for Associate Machine Learning Government jobs in Indiana are:
What cities in Indiana are hiring for Associate Machine Learning Government jobs? Cities in Indiana with the most Associate Machine Learning Government job openings:
Post Doc Research Associate

Post Doc Research Associate

Purdue University

West Lafayette, IN • On-site

Full-time

Posted 10 days ago


Purdue University rating

7.5

Company rating: 7.5 out of 10

Based on 134 frontline employees who took The Breakroom Quiz

263rd of 538 rated colleges and universities


Job description

Req Id: 42630
Job Title: Post Doc Research Associate
City: West Lafayette
Job Description:
Job Summary
Postdoctoral position: Machine Learning for Drug Discovery
Discover causes and cures for disease through research in the Carpenter-Shen laboratory!
Want to devote your expertise in data science to accelerate the pace at which new medicines are found? Our lab develops and applies methods to extract quantitative information from high-throughput biological images.
We seek a postdoctoral researcher to join our efforts to glean insights from large collections of images. There is much more information present in microscopy images than is commonly perceived by eye. We harvest this information, developing novel methods to characterize cellular populations at single-cell resolution. This work has the potential to transform how both the targets and therapies for disease are identified.
We aim to revolutionize the process of drug discovery in several projects, including:
  • Identify the function of unknown genes and predict mutation impact, for personalized medicine
  • Repurpose existing drugs to new diseases
  • Identify potential therapies for bipolar disorder and psychosis, based on cell morphology changes
  • Predict and classify toxicity of compounds destined for clinical trials or agrochemical use
  • Develop multimodal alignment methods to link image profiles to find drug-gene matches
  • Design AI agent systems to let biologists query, retrieve, and reason over large-scale image databases
  • We are also open to your ideas that align well with our interests and expertise!

About us: Our mission is to make biological discoveries by developing advanced methods to quantify and mine the rich information in images. We work as a collaborative team making discoveries to influence patient treatment. Our lab offers a professional, conscientious environment passionate about driving scientific progress.
Our lab pioneered Cell Painting, a leading image-based profiling assay used worldwide to quantify biological processes. Our open-source CellProfiler software, cited in over 23,000 papers, has enabled discoveries leading to several clinical trials, including two successful in cancer so far. We also launched a major Cell Painting consortium with ten pharmaceutical companies to produce the largest public Cell Painting dataset. Through OASIS, we created the largest public dataset combining Cell Painting, transcriptomics, and proteomics for toxicity assessment. In VISTA, we aim to systematically and scalably uncover disease phenotypes and drugs that can reverse them for disease caused by coding variants.
Please express interest by applying and submitting your CV and a personalized cover letter.
Education
  • Ph.D. required in a computational field (Data Science, Computer Science, Computational Biology, Bioinformatics, Cheminformatics, or related) with data science experience in biomedical domains.

Experience
  • Expertise analyzing large-scale and/or high-dimensional biological data is highly desired.
  • Outstanding integrity, initiative, organizational & collaborative ability, and communication skills.

FLSA Status
Exempt

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