374 professor-computer-"https:" "https:" "https:" "https:" research jobs at Nature Careers
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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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cancer, we have developed a comprehensive pipeline going from molecular genetics to the clinic. The Brugarolas lab is also the hub of the Kidney Cancer Program (https://kcp.utsw.edu/ ), one of two
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) and ATTR (transthyretin) amyloidosis are the most common systemic forms, with distinct molecular origins but shared mechanisms of extracellular amyloid deposition and tissue damage. Our research program
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fellow to join our translational research program in macrophage biology/immunology. Our team takes a systems approach—integrating multi-omics, network science, machine learning, and comprehensive in vitro
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programme and the application process, please visit the Charleston website: https://cuni.cz/UKEN-2185.html . For inquiries, contact us at msca.charleston@cuni.cz.
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We have an exciting research opportunity for a Research Assistant / Associate tojoin our team. The post holder will be based at the Cancer Research UK-Scotland Institute (CRUK-SI) in Glasgow https
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The Air Force Science & Technology Fellowship Program (AF STFP) provides nationally competitive fellowship awards for postdoctoral and senior scientists. Selected individuals have the unique
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Postdoctoral Research Associate - Hybrid Computational-Experimental Scientist in Bacterial Drug Resp
Job Description We are seeking an interdisciplinary postdoctoral researcher to join our lab at St. Jude Children's Research Hospital to develop new experimental-computational approaches for studying
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origami robots that can sense, compute and actuate [2]. In the recently funded RIBOTICS (RNA Origami Technology in Cell Systems) project, the lab aims to develop RNA origami robots for cell factories (yeast
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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