1,575 computer-programmer-"https:"-"Brookhaven-Lab" "https:" "https:" "https:" "BioData" positions at Nature Careers
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basic or translational research and the potential to develop an outstanding independent research program that supports the Institute's ultimate goal of harnessing the immune system to prevent and cure
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fellowships, to be held at the Crick or elsewhere. The Programme: Fellows at the Crick join a vibrant, multidisciplinary research community of over 1,000 scientists. They have full access to the Crick postdoc
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that accelerate innovation in healthcare and biotechnology through validation, engineering, and valorization pathways such as licensing, partnerships, and spin‑outs. About the role We are seeking a Computational
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of Health (NIH) and the Department of Health and Human Services (DHHS). Within this program, the Section on Synapse Development Plasticity (Chief: Zheng Li, PhD, https://www.nimh.nih.gov/research/research
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about the lab at: https://mbzuai.ac.ae/study/faculty/natasa-przulj/ and https://przulj-lab.github.io/ Qualifications PhD in Computer Science, Mathematics, Physics, Bioinformatics, or a related
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, and a willingness to advance coordinated projects are expected. In teaching, he/she should represent the subject of biochemistry in its entirety in the bachelor’s programme Biochemistry, the master’s
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includes researchers from the Vienna Institute of Demography (ÖAW) and the Population and Just Societies Programme at IIASA.The department of demography, a sub-unit of the Faculty of Social Sciences, aims
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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
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The Chief Architect- Centre of Excellence(CoE) for Spatial Computing (AR/VR/XR) will pioneer DSU’s vision for the Industrial Metaverse, leading research and platform development in extended reality
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but extremely hard to program. In this context, COMETH aims to rethink programming and compilation methodologies to hide this complexity while fully exploiting the power of these new emerging computing