893 computational-physics-"https:"-"https:"-"https:"-"https:"-"BioData"-"BioData"-"BioData" positions at Nature Careers
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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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which you could work in the future. More information about our application process Please send your application only via our online application tool and with the following documents: CV Cover letter
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which you could work in the future. More information about our application process Please send your application only via our online application tool and with the following documents: CV Cover letter
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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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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
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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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computational modeling, in vivo biological assays, and radiation physics and engineering approaches to define the mechanisms and optimal radiation dosimetric parameters by which FLASH-RT mitigates radiation
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where the decision process is clear; (iii) fairness and non-discrimination: designing algorithms to make unbiased decisions by mathematically defining fairness (e.g., demographic parity, equality
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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