297 computational-physics "https:" "https:" "Institute of Computer Science" Postdoctoral positions at Nature Careers
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sustainable process development. Opportunities to contribute to an ambitious research program (HyperCap) advancing novel carbon capture technologies toward pilot-scale demonstration. A supportive and
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networks (PMID:26655834, PMID:34106209, PMID:39009834 and BioRxiv. https://doi.org/10.64898/2025.12.01.691495). The importance of Arp2/3 complex subunit isoforms is evident from the observation that loss
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Nature Careers | Vancouver South Shaughnessy NW Oakridge NE Kerrisdale SE Arbutus Ridge, British Columbia | Canada | 2 months ago
information on patients. The group’s homepage: https://www.skane.se/en/about-us/research/for-dig-som-forskar/center-for-primary-health-care-research/molecular-family-medicine-laboratory/ https
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University’s e-recruitment system Varbi (https://umustipendie.varbi.com/en/what:job/jobID:884285/ ) and submitted by the deadline 2026-02-12. The application must contain: Cover letter describing your research
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or computational approaches to study biological systems in close collaboration with experimental groups at the MPI-CBG and the TUD. Ideal candidates should have backgrounds in physics, computer science, mathematics
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University, Department of Biological and Chemical Engineering (AU-BCE) encompasses some 200+ employees and five educations. Position is embedded in the section for Process & Materials Engineering, where
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biology and publication records (minimum of one-first author publication in a peer-reviewed journal) are encouraged to apply for the open position ( https://talent.stjude.org/postdoc/jobs/JR1859 ). St. Jude
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scientific field (e.g. computer science, data science, mathematics, statistics, engineering, physics, or related). Provable deep learning track record and practical expertise (e.g. with VAEs, GANs, diffusion
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photonics, nonlinear optics, and frequency metrology is highly desirable. Specific skills of interest include design of integrated photonics devices using commercial computational electromagnetic modeling
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, and train deep learning models on the resulting data to design new antibiotic compounds that evade both current and likely future resistance mechanisms. Your computational work will directly steer