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Field
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neuroscience, computational neuroscience, translational neuroscience, psychology, medicine, neurobiology, computer science, biological engineering, medical engineering, mathematics, physics, neuroimaging
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on retention processes are still poorly understood. The PhD thesis is part of the joint project TRANSFER, which is jointly funded by the Federal Ministry for Research, Technology and Space (BMFTR) and the
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position in the field of cell biology and immunology. The aim of this study is to compare various immunomodulating therapies, utilizing in vitro and in vivo experiments. We will utilize the murine MS model
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funded by the Leibniz Collaborative Excellence program and conducted in cooperation with the Institute of Space Systems at the University of Stuttgart. The position includes setting up a multi-metal lidar
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-performance computing and imaging facilities. a collegial, international atmosphere and flexible, family-friendly working hours a structured PhD programme with extensive training and career-development
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practical lab position, so applicants with only (bio-)informatics background will not be considered. For inquiries, please contact: Prof. Thomas Weide ( weidet@uni-muenster.de ; Thomas.Weide@ukmuenster.de
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. Programme duration 9 semesters or more Beginning Winter and summer semester Application deadline 15 June for the winter semester 15 January for the summer semester Tuition fees per semester in EUR None
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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Area of research: Scientific / postdoctoral posts Starting date: 01.10.2025 Job
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journals. Close collaboration with team members and colleagues. Essential qualifications: M.Sc. in Computer Science, Machine Learning, or equivalent with interest in Medical Imaging and Deep Learning. Strong
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HBIGS Heidelberg Biosciences International Graduate School | Heidelberg, Baden W rttemberg | Germany | 22 days ago
, Biochemistry, or a related field. • Passionate about science LanguagesENGLISHLevelGood Additional Information Selection process PLease submit your application exclusively through the HBIGS application system