239 computer-science-quantum-"https:"-"https:" Postdoctoral positions at Nature Careers
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part of the SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS), which aims to recruit and train the next-generation of data-driven life scientists and to create globally
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We are seeking applicants for postdoc positions in ‘Mammalian Nuclear RNA Production and Turnover Systems’ to join us at the Department of Molecular Biology and Genetics in the research team
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research within an institute dedicated to engineering biology at an unprecedented scale. In this role you will support an internationally competitive research programme, leveraging GBI’s exceptional
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at the Department of Electrical and Computer Engineering, Aarhus University, where we are advancing communication-efficient and distributed foundation model inference across the computing continuum
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characterization of nucleic acids Computational model building and structure prediction Single-molecule fluorescence microscopy techniques Experience in cryo-EM structural biology of nucleic acids. Who we
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computational genomics of Alzheimer’s disease. The Sleegers lab is an international team committed to increasing insights into the complex genetics of Alzheimer’s disease and to investigating the translational
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We are seeking a highly motivated and creative postdoctoral fellow to join the Sun lab in the Department of Structural Biology at St. Jude Children's Research Hospital. The project focuses
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. Andersen (Andersen group ) at the Department of Biochemistry and Molecular Biology (BMB) at SDU. The Andersen group is associated with the ‘Biomedical Mass Spectrometry and Systems Biology research unit
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Postdoctoral Research Associate - Hybrid Computational-Experimental Scientist in Bacterial Drug Resp
-or vice versa-who wants to grow into a scientific leader at the interface of data and biology. What You Will Do • Combine experimental and computational approaches to analyze bacterial responses
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the interface of computational biology, molecular science and translational medicine, generating large multi-omic datasets that require robust, reproducible analysis to identify rare signals with high accuracy