133 data-"https:" "https:" "https:" "https:" "https:" "J. F" PhD positions at Nature Careers
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SD-26006 PHD STUDENT IN METAL DECORATED METAL OXIDE NANOSTRUCTURES FOR ENHANCED PLASMONIC LIGHT H...
Technology Organization (RTO) active in the fields of materials, environment and IT. By transforming scientific knowledge into technologies, smart data and tools, LIST empowers citizens in their choices
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for Biodiversity is situated in Aarhus and employs about 25 staff members. For more information on the Department see: http://ecos.au.dk/en/ What we offer Excellent research infrastructure with access to state
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DTU’s Tenure Track program. Read more about the program and the recruitment process here . You can read more about career paths at DTU here . Further information Further information may be obtained from
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About the lab involved The Laboratory of Ion Channel Research (https://voetslab.sites.vib.be/en ), led by Prof. Thomas Voets at the VIB–KU Leuven Center for Brain & Disease Research, is a dynamic
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at the Institute of Medical Informatics within the research group “Medical Data Integration Center (MeDIC)” led by Dr. Michael Storck and is embedded in the DFG-funded Collaborative Research Centre 1748, Principles
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for Biomedical Data led by Prof. Dominik Heider and is embedded in the DFG-funded Collaborative Research Centre 1748, Principles of Reproduction . The CRC 1748 involves scientists of the University, University
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research group “Machine Learning for Biomedical Data” led by Prof. Dominik Heider and is embedded in the DFG-funded Collaborative Research Centre 1748, Principles of Reproduction. The CRC 1748 involves
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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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combine interdisciplinary research in molecular, structural, and cell biology as well as in physiology, biophysics, epi /genetics, (bio)informatics, and multimodal data analysis. The Eble group investigates
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-weighted magnetic resonance imaging to comprehensively characterize the tumor microenvironment (TME). Tasks will involve the development of improved biophysical models and corresponding MRI data acquisition