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optimization, intelligent runtime systems, code generation and transformation, HPC, parallel and distributed computing, compiler infrastructures, heterogeneous systems, and autonomous system optimization
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personnel in the correct operation of equipment and ‘best-practices’ in semiconductor processing. Qualifications A successful candidate should have: M.S. or PhD in Physics, Electrical Engineering
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knowledge of natural language processing, topic modeling, sentiment analysis and artificial intelligence (particularly LLM) API integration Familiarity with grant writing and funding acquisition is desirable. Benefits Eligibility YES FLSA Status Exempt Apply now Posting Start Date: 12/6/24
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research • Deep learning and predictive modeling • Natural language processing and large language models for biomedical data • Drug response prediction and treatment optimization • Biomedical
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learning applications in biomedical research • Deep learning and predictive modeling • Natural language processing and large language models for biomedical data • Drug response prediction and
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particle detector within a cryogenic system, evaluate photosensor performance beyond commercially rated specifications, and calibrate the detector response. Application Information The position is
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, the Purdue system for job applications. A writing sample and editing test will be requested from candidates selected for screening interviews. Review of materials will begin immediately and
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of three professional references. Please submit materials to Success Factors, the Purdue system for job applications. A writing sample and editing test will be requested from candidates selected for
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University 915 Mitch Daniels Blvd Lilly Hall of Life Sciences B454 West Lafayette, IN 47907 Office: (765) 494-2326 Apply now Posting Start Date: 8/18/26
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Mitch Daniels Blvd | Lilly Hall of Life Sciences B454 West Lafayette, IN 47907 Office: (765) 494-2326 Apply now Posting Start Date: 7/28/26