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. Publish and present findings in international journals and conferences. Supervise and mentor junior researchers and students. Profile PhD in Computer Science, Biomedical Engineering, Data Science, or a
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engineering, or a related discipline, with a clear and demonstrated focus on diabetes research. Experience with iPSC models and data analysis: Hands-on experience with induced pluripotent stem cell (iPSC
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to participate in the detector and ASIC developments for beyond the HL-LHC upgrade. There will also be opportunities to participate in the ATLAS data analysis and in teaching at the university. A PhD in particle
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Deutsches Zentrum für Neurodegenerative Erkrankungen | Bonn, Nordrhein Westfalen | Germany | 11 days ago
(maintenance, genetics, functional assays, microscopy) or (2) a strong background in proteomics and/or metabolomics, with experience in experimental design, data acquisition and analysis, which will contribute
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approaches for the analysis of omics, digital, and molecular pathology data, to support precision medicine. We work with real-world data in a highly interdisciplinary environment fostering translational
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, trauma and history are entangled. Job description: In close coordination with the project management and the other project staff, the computer-assisted analysis of interviews with Holocaust survivors will
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information at: http://www.ifw-dresden.de The Institute for Materials Chemistry (Director: Prof. Dr. Anjana Devi) at the IFW Dresden, Germany offers a Postdoctoral position (m/f/div) on the topic
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6 Oct 2025 Job Information Organisation/Company Kassel Institute for Sustainability Department Cultures of Sustainability Research Field Other Researcher Profile First Stage Researcher (R1
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models and data analysis: Hands-on experience with induced pluripotent stem cell (iPSC) models and/or the analysis of high-throughput sequencing data is highly desirable. Expertise in multi-omic data
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willingness to learn: High-performance computing (distributed systems, profiling, performance optimization), Training large AI models (PyTorch/JAX/TensorFlow, parallelization, mixed precision), Data analysis