383 professor-computer-"https:" "https:" "https:" "https:" research jobs at Nature Careers
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to ongoing and related projects as needed; Contributing to the Centre’s training program by teaching workshops or tutorials in machine learning, generative models, or data science methods; Engaging with public
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) 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 of teaching and
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Bioinformatics Core and Office of AI Research, with opportunities for all fellows to develop their own computational skills). Experimental validation – evaluating RNA drug candidates using cell-based assays
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advancing understanding and treatment of pediatric cancer. Dr. Brian Crompton’s lab is an interdisciplinary team with both computational and wet bench scientists that utilize omics (e.g. genomic, epigenomic
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advanced programming skills in a high-level computer language (Python or related) hands-on experience with instrumentation development excellent oral and written English skills collaborative mindset Skills
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processing equipment Modern methods in molecular biology for the engineering of proteins and microorganisms Skilled in computational methods for the prediction, characterization or modelling of biomolecules
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various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly
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manufacturing capabilities, and high-performance computing resources. The ideal candidate will have a track record of high-impact first or lead-author publications, demonstrable potential for independent research
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Doctoral and Postdoctoral Researcher Positions in the Cluster of Excellence “Balance of the Microver
according to German TV-L E13 for 3.5 years) and 2 Postdoc positions (100 % TV-L E13 for 2 years) with wet-lab or computational focus to decode microbial balance in a highly collaborative and multidisciplinary
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description You will be contributing to developing and implementing novel algorithms at the intersection of computational physics and machine learning for the data-driven discovery of physical models. You will