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bioinformatics and modelling. Detailed information on the research groups available for supervising PhD projects in the current application call can be found on the website of the IMPRS MolPlant. Our offer We
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, integrative biology approach that utilizes human pluripotent stem cell based model systems, high throughput functional genomic screening and big data based machine learning, bridging the scales from genetics
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, to experimental biophysics and biochemistry, and, to cell and molecular biology involving data science. A position comprises 65-75 % of the fulltime weekly hours and is limited until March 31, 2030. The period of
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, computer science and mathematics. Candidates are expected to suggest possible supervisors (PhoQS PIs) as part of the application process. Detailed information on the graduate and scientific program and the
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of family and career Consideration of personal wishes regarding the weekly working schedule Information regarding the position Paygrade E13 according to TVöD VKA-K. Your job grade depends on your job
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master’s degree (or equivalent) in neurosciences, biochemistry, genetics, data science or related disciplines English (at least C1 level) Willingness to participate in prolonged research stays (secondments
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engineering Knowledge of machine learning (deep learning) Basic knowledge of computer science or software development, e.g., using Java, Python, or C++ Good communication and information skills, goal-oriented
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EU MSCA doctoral (PhD) position in Materials Engineering with focus on computational optimization of
of strongest influence on the target properties. Moreover, the obtained data will be fed into a generative pre-trained transformer model (e. g. ChatGPT) to probe the potential of in-context learning for process
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doctorate between May and December 2026. For more information on available projects, eligibility criteria and the application process, please check the IMPRS‑IDI website . Contact: IMPRS-IDI Coordination
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sequencing, genome-wide data integration, statistical modeling, and hypothesis-driven experimental design, preparing them for leadership roles at the interface of molecular biology and data science. Your Tasks