867 computational-physics-"https:"-"https:"-"https:"-"https:"-"Caltech" positions at Nature Careers
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program focused on pediatric acute myeloid leukemia, with an emphasis on identifying disease vulnerabilities and therapeutic opportunities. The ideal candidate will have: Strong expertise in tissue culture
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PhD in computer science, physics, mathematics, or a related discipline Strong expertise in image analysis and/or machine learning, with a deep understanding of how data characteristics impact downstream
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Solution Architect Reference number: 2026-0039 The Division of Intelligent Medical Systems (IMSY) is an interdisciplinary research division working at the interface of computer science, physics, statistics
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integrating clinical big data and artificial intelligence, the program aims to identify novel therapeutic targets and accelerate the translation of fundamental discoveries into personalized medical solutions
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work in administration and organisation. We are looking for a/an University assistant predoctoral/PhD Candidate 51 Faculty of Physics Startdate: 01.04.2026 | Working hours: 30 | Collective bargaining
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. Operate security-related equipment such as computers, radios, electronic access control systems, intercoms, and closed-circuit televisions. Assist with regulatory compliance activity related to performing
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Cell Immunology is seeking for the next possible date a Technical Assistant Reference number: 2026-0029 The protein design team in the Division of B Cell Immunology is in the process of establishing
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Intro: AI@HHMI: HHMI is investing $500 million over the next 10 years to support AI-driven projects and to embed AI systems throughout every stage of the scientific process in labs across HHMI
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Applicants are invited for a PhD fellowship/scholarship at Graduate School of Technical Sciences, Aarhus University, Denmark, within the Biological and Chemical Engineering programme. The position
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working on nonlinear and multiphoton optical spectroscopy and microscopy for molecular and materials characterization. The project is part of the broader MIP research programme across KU Leuven (Leuven and