240 parallel-computing-numerical-methods-"Multiple" Postdoctoral positions at Nature Careers
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-throughput methods, such as drug screening, -omics, and single-cell technologies. Together with the group of Dr. Johanna Schott (Department of Biochemistry, Mannheim Medical Faculty), focused on RNA biology
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particular focus on digital methods and tools. The C²DH's ambition is to venture off the beaten track and find new ways of doing, teaching and presenting contemporary history of Luxembourg and the history
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has gathered detailed data on the effects of contaminants on marine mammals over the last three decades, combining a variety of methods including PBPK modelling, TWI evaluations, mass balances, risk
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(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
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: Experience with numerical climate models and/or chemical transport models such as CESM and/or GEOS-Chem. Advanced programming skills in Python, Fortran, or other relevant languages. Experience in wildfire
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gastrointestinal cancers. The Washington University Medical Campus, where the Lim Lab is located, sits adjacent to the beautiful Forest Park, home to multiple attractions including the world-renowned St. Louis Zoo
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to the EnerTEF project. Is Your profile described below? Are you our future colleague? Apply now! Education PhD’s degree in electrical engineering, computer science, energy systems, or a related discipline
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with experimental or computational methods for studying the failure of complex and heterogeneous materials. You have demonstrated the ability to publish in high-quality international journals and to
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part of an interdisciplinary team working across physical and computer science to develop new pathways to the design and discovery of inorganic materials as part of the Leverhulme Centre for Functional
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Post-doctoral Researcher in Multimodal Foundation Models for Brain Cancer & Neuro-degenerative Disea
radiologists involved in the projects. Training and research environment The Brain Imaging & Neuro Epidemiology group (BraINE) develops advanced methods for medical images analysis, combining computer vision