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<span lang="en">Heidelberg University, Heidelberg University Hospital</span> | Heidelberg, Baden-Württemberg | Germany | about 5 hours ago
therapies. Information about the research group is available via the group website: Postdoctoral Associate Position in the Dr. Hua Xu Lab at Biomedical Informatics and Data Science (BIDS), Yale School of Medicine
and analyze biomedical and healthcare data to promote health for all. More information about BIDS can be found here at: https://medicine.yale.edu/biomedical-informatics-data-science/ (Link is
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, experience with using Abaqus, user subroutines, and Python scripting. Qualifications: Must have a Ph.D. or equivalent; be able to undertake substantial full-time research and scholarship; working under the
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Apply online now : https://karriere.klinikum.uni-heidelberg.de/index.php?ac=application&jobad_id=29229 PhD Position Single-Cell Genomics in Post-Traumatic Stress Disorder (m/f/d) Stellenanzeige
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team members and collaborators. For additional information about the Liao research group, please visit: https://sites.google.com/view/chentingliao/ Department Contact for Questions: Questions
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within the consortium. Your Profile Excellent Master in Computer Science, Engineering, Biophysics, Applied Mathematics, Computational Biology, or a related discipline Proven programming expertise in Python
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King Abdullah University of Science and Technology | Saudi Arabia, | Saudi Arabia | about 8 hours ago
Further details can be found at: https://deepwave.kaust.edu.sa/research Thus, the candidate is expected to have or about to have a PhD in a relevant topic, that includes geophysics, mathematics, physics
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on our research program, see https://meyer-lab-cshl.github.io/ Position Responsibilities The successful candidate will study tolerance induction and generation of diversity in the immune system as
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architectures. The candidate will lead the C++ / Unreal Engine software engineering efforts, ensuring sub-millisecond data synchronization between simulation frameworks and external Python-based AI models hosted
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machine/deep learning, computer vision, or applied statistics. Solid programming skills in Python and experience with deep learning frameworks (e.g., PyTorch or TensorFlow) Project funding Other Funding