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candidates using photometry, spectral energy distributions and, when available, spectroscopic data. Both fellows will produce diagnostic plots and summary tables. Simple statistical or machine-learning methods
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according to the expertise of the applicant, and there is potential for fieldwork. You will have a PhD (or equivalent) in geoscience, with skills in, or willingness to learn, petrology and pore-scale flow
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School graduates over a thousand students who are ready to take on great ambitions and challenges. For more details, please view: https://www.ntu.edu.sg/eee Key Responsibilities: The Research Fellow will
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, selectivity and phenotype mechanisms directly in primary human cells and employ machine learning methods for data analysis. This includes activity-based profiling, global- and phosphoproteomics and phenotype
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About the University As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill
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with the Ganna Lab (https://www.dsgelab.org/ ) at FIMM and the Probabilistic Machine Learning Lab (https://www.helsinki.fi/en/researchgroups/probabilistic-machine-learning ; groups of Acerbi and Klami
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training must be submitted no later than two months after taking up the position, and the admission approved within three months. For more information about the programme, see: http://www.mn.uio.no/english
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imaging techniques and flow cytometry to address key questions. The prospective candidate should have the knowledge to perform cell culture works and a willingness to learn and trouble shoot new techniques
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schools in the world. For more details, please view https://www.ntu.edu.sg/mae/research . Our team is seeking a highly motivated Research Fellow to contribute to cutting-edge research in embodied AI and
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information please visit: https://www.brunel.ac.uk/about/our-history/home The Department of Computer Science at Brunel, where this project will be based, has a strong record of internationally recognised