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computational chemistry, reaction network analysis, and machine learning for organometallic catalytic reactions. 2. Design of membrane-permeable macrocyclic peptide drugs via machine learning structure
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control with Git, typesetting with LaTeX, use of Linux computers; Experience with convolution and transformer-based neural networks for image analysis; Experience with graph-based methods, and graph
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, multimodal data analysis, social network analysis, computational text analysis, or large-scale data analysis. Proficiency in relevant programming languages and computational tools, such as Python and/or R, and
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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Project description Third-cycle subject: Biological Physics The AICell Lab (https
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of novel diabetes therapies Precision medicine for Type 1 and Type 2 diabetes Human pancreas imaging and spatial biology Digital pathology and computational tissue analysis Clinical decision support using
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servers, storage and network devices, including operating systems, software applications and tools. Recommends and implements ‘best practices’, as well as identifies solutions for the District’s VDI
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Post Doctoral Researcher / Senior Post Doctoral Researcher - School of Biochemistry and Cell Biology
analysis pipelines to deliver real-world translational outcomes and contribute to a multi-omics ovarian cancer knowledge base. Candidates should submit a motivation letter, CV with publications, and contact
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Łukasiewicz Research Network – PORT Polish Center for Technology Development | Poland | about 1 month ago
of the biorefinery, and the analysis and interpretation of research data. Check below to find out more: https://port.lukasiewicz.gov.pl/en/projekty-badawcze/from-waste-to-products-hydrothermal-and-biological
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by the call deadline a CV, a motivation letter, and the contact details of two references through the IMDEA Networks Institute hiring portal, at https://careers.networks.imdea.org/ . Selection process
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is expected to be open to combine both positivist and non-positivist approaches under the supervision of Carolin Ischen and Gijs Schumacher, both specialized in large-scale quantitative analysis and