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Informatics (DBMI) at Harvard Medical School and the Yu Lab are seeking a Postdoctoral Research Fellow with experience in machine learning and scientific programming. The candidate will work with a multi
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design and discovery, including the use of artificial intelligence (AI) and machine learning (ML) techniques. The hired candidate will focus on computational aspects of immune repertoire analyses
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/Certification Advanced Practice Registered Nurse (APRN) or Physician Assistant-Certified (PA-C) with appropriate certification Physical Requirements Sitting at computer workstation for extended periods. Lifting
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/Certification Advanced Practice Registered Nurse (APRN) or Physician Assistant-Certified (PA-C) with appropriate certification Physical Requirements Sitting at computer workstation for extended periods. Lifting
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reproducible analysis workflows Familiarity with computational models of vision and machine learning methods (for example CNNs, deep generative models, encoding models) is preferred but not required Ability
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with numerical modeling, energy system optimization and possibly machine learning to guide energy transitions towards net-zero systems. The research supervisors have prepared multiple potential projects
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computational models of vision and machine learning methods (for example CNNs, deep generative models, encoding models) is preferred but not required Ability to communicate scientific results clearly through
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THE PROJECT PNRR" Lung Squamous Cell Carcinoma Therapeutic Targets Using Systems-Level Machine Learning Based On Single Cell RNA Sequencing", implemented under Financing Agreement No. 760066/23.05.2023
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of Mechanical and Aerospace Engineering at UCSD invites applications for a postdoctoral fellowship funded by the Gordon and Betty Moore Foundation focused on the topic of machine learning-based ocean state
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) Posting End Date May 10, 2026 Note: Applications will be accepted until 11:59 PM on the Posting End Date. Job End Date May 31, 2027 The expected salary for this position is $70,000-$75,000/ per annum