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modeling of biomolecule structures, regulatory networks and/or interaction networks; computational modeling of cell morphology, tissue organization, and organ function using biomedical imaging and computer
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enrolled in a MSc program - art. 5 https://www.fct.pt/wp-content/uploads/2026/01/RBi_Republicado_2025.pdf The applicants are required to have proficiency in Portuguese and English, both written and spoken
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preferential viewing behavior, using large-scale electrophysiology, behavioral experiments, and computational modeling. We welcome applications from recent PhD graduates who are interested in these or related
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Sorbonne Universite - Laboratoire de Chimie de la Matière Condensée de Paris (LCMCP) | Paris La Defense, le de France | France | 1 day ago
Type of Contract Temporary Job Status Full-time Offer Starting Date 1 Oct 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
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Postdoctoral Program website for application instructions and requirements: How to Apply | NASA Postdoctoral Program (orau.org) A complete application to the NASA Postdoctoral Program includes: Research proposal
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into include: Upscaling of multiphysics transport phenomena Film formation and efflorescence Multiphase Computational Fluid Dynamics High-performance computing Where to apply Website https
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Les matériaux et structures souples présentent des comportements
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advanced model systems Neural circuits and systems neuroscience Full list of all 24 available projects on our website: https://oc10.meduniwien.ac.at/open-phd-positions Requirements / Skills: Master’s degree
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implementation of a coupled Computational Fluid Dynamics (CFD) and fire dynamics model within the OpenFOAM framework. This model will simulate battery thermal runaway and subsequent fire propagation. The
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to biological data. PREFERRED QUALIFICATIONS: PhD in Bioinformatics, Computational Biology, Computer Science, or a related field Experience applying deep learning or foundation-model approaches to sequence-based