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transcriptomics and single-cell RNA sequencing on patient samples • Mining and analyzing public cancer databases (TCGA, GEO, etc.) and omics data • Inferring TLS formation and maturation stages from
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, R) Expertise in machine learning, Bayesian statistics is beneficial Capacity for interdisciplinary teamwork and excellent communication skills Ability to communicate in English fluently
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Retrieval-Augmented Generation (RAG) for data retrieval and knowledge inference implementation of your machine learning pipeline in Python (using e.g. PyTorch) validation of your results in collaboration with
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imaging methodologies. In this project, novel techniques are being developed for tracking radio-labelled cells, either as cell populations or even individual cells. This is being achieved by combining whole
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strong interest in research. A proven track record of scientific work, such as prior publications, is beneficial. We particularly value a solid theoretical foundation in 𝗺𝗮𝗰𝗵𝗶𝗻𝗲 𝗹𝗲𝗮𝗿𝗻𝗶𝗻𝗴
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of Excellence RESOLV The RESOLV integrated Graduate School Solvation Science (iGSS) seeks to attract highly motivated students with a top level Master’s degree (iGSS Track I) or with a top-level Bachelor’s degree
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. Bonus lectures can be picked by the students depending on their interests and project-specific requirements. Students can deepen their knowledge about selected topics (e.g. Bayesian Statistics, HMMs, AI
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should hold a M.Sc. in chemistry, physics, material sciences or related disciplines. To join our interdisciplinary team, we are looking for creative, enthusiastic students with a solid scientific track
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Max Planck Institute for Solid State Research, Stuttgart, Hamburg, Halle, Dresden | Dresden, Sachsen | Germany | 8 days ago
for the fast-track option. Your application Are you interested? We invite highly motivated students with strong commitment to basic science from all over the world to apply to our international program centered
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the University of Konstanz, this doctoral programme provides the possibility to enrol via the "Konstanz Fast Track" system. Language requirements Applicants must provide proof of their proficiency in English