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part of a larger interdisciplinary team of computational and experimental scientists. Our approach uses single-cell omics approaches coupled with high-resolution microscopy and in vitro models to study
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discipline. 2. Solid background in acoustics, metamaterials, vibroacoustic and solid mechanics. 3. Proficiency in programming languages and environments such as Python, MATLAB, or C++. 4. Demonstrated
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Machine Learning for Multimode Mechanics Apply for this job See advertisement About the position A three-year position as Postdoctoral Research Fellow inQuantum Machine Learning for Multimode Mechanics
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, materials science, and digital fabrication. You have a solid background in computational fluid dynamics, numerical modelling, or multiphase/coupled flow simulation, ideally applied to polymer processing
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Skip to main content Postdoctoral Research Associate in Computational Chemistry Job id: 161605 . Salary: £45,031 - £47,379 per annum Inclusive of London Weighting Allowance . Posted: 19 October 2026
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MalariaGEN team, collaborating with international vaccine researchers and making use of large-scale computational resources. The initial focus will be T-cell antigen and peptide prioritisation, with
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Join the HJF Team! HJF is seeking Postdoctoral Fellow - Computational Biology & Machine Learning who will be responsible for initiating and carrying out research projects in collaboration with a
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, Computational materials science, Organic or hybrid materials for energy applications. Great emphasis will be placed on personal qualities and suitability for the position. We are looking for a candidate with
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circuits. We use large-scale, unbiased, systematic approaches in collaborative multidisciplinary research teams. This postdoctoral fellowship in the Arlotta lab involves computational analysis of large
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The Bakar Computational Biomedicine Initiative (BCBI) at UC Berkeley and UCSF invites applications for its Postdoctoral Fellows Program, which will recruit exceptional early-career scientists at the