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Field
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-learn); familiarity with data engineering and infrastructure (PostgreSQL and/or NoSQL, REST APIs, Docker, Git). Differentials: large language models, AI agents and/or semantic databases/graphs. Position
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collaborative environment with projects and interactions spanning multiple labs within the group, across NIST and externally. Candidates should have a PhD in physics, electrical engineering, mechanical
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Is the Job related to staff position within a Research Infrastructure? No Offer Description Postdoctoral Researcher in Software Engineering & Robotics (MLOps for AI-Enabled Cyber-Physical Systems
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Department of Chemical and Biological Engineering Posting Number P260025 Posting Link https://www.ubjobs.buffalo.edu/postings/61152 Employer State Position Type UUP Professional Professional Appointment Term
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arrangement Description: We are seeking a Post-doctoral Associate to lead a multi-phase investigation into the socio-cultural implications of Engineered Genetic Incompatibility (EGI) within the U.S. grass
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, machine learning, etc. Building a quantum computer requires a multi-disciplinary effort involving experimental and theoretical physicists, electrical and microwave engineers, computer scientists, software
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PhD students to a certain extent Possibility to engage in teaching at undergraduate/master’s level Contract terms The position is a temporary full-time employment for two years with the possibility of a
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researchers. The selected candidates for these positions will join our team for further advances in this area. This includes phenotype definition, integrating novel genetically related traits using digital
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Duke University, Department of Political Science Position ID: Duke-Department of Political Science-POSTDOC [#31488] Position Title: Position Type: Postdoctoral Position Location: Durham, North
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Postdoc position in method development in human statistical genetics, with a focus on classificat...
complex traits. Dr Speed has developed the software package LDAK (www.ldak.org ). The position will be mainly funded by an ERC consolidator grant, aimed at finding novels ways to classify complex diseases