27 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" scholarships at Nature Careers in Germany
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Research Program RTG3120 on Biomolecular Condensates (https://dresdencondensates.org ). Each PhD project is part of an interdisciplinary framework that includes shared training activities, and supervision by
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. Information about the available topics and supervisors can be found under the following link: http://scads.ai/positions2025. The location of work (Dresden or Leipzig) depends on the topic assigned for each
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the application of female scientists. Additional information: Please submit your application until 7th January 2026, indicating the reference number 27635, via our online portal: Apply now! https://jobs.uksh.de/job
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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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protocols to characterize both cellular and vascular properties of the TME. The approach will be validated using a combination of in silico models, computer simulations, and in vitro experiments using tumor
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methods are a plus High degree of motivation, willingness to learn and team spirit Strong sense of responsibility, organisational skills, high reliability and flexibility Good written and oral
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sciences or similar Strong interest in single-cell nucleus RNA-seq techniques / Perturb-Seq / Crop-Seq Willingness to learn computational biology/bioinformatics High motivation for scientific work and