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W3 Endowed Professorship for “Hemodynamic Modeling in Atherosclerosis- (f/m/d) KSB Foundation W3 end
The Medical Faculty Mannheim of Heidelberg University offers the position of a W3 Endowed Professorship for “Hemodynamic Modeling in Atherosclerosis” (f/m/d) KSB Foundation W3 endowed professorship
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Person Registry (Person Dimension). Will also design, develop, and validate workforce data models that integrate traditional and AI-augmented approaches. Leveraging dimensional modeling principles (Kimball
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applications. Key Responsibilities: Develop and fine-tune computer-vision models, instance segmentation, and retrieval-based estimation from images and text metadata. Build and evaluate monocular depth pipelines
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administration as designated by head coach game scouting and coding of opponents post game analytics assist with camps and clinics recruitment of student athletes Responsible for role modeling behaviors and
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formal methods. The successful candidate will contribute to advancing data-driven modeling techniques that enable formal safety guarantees for complex dynamical systems such as autonomous vehicles
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Germany | 12 days ago
motivated postdoctoral researcher (f/m/x) to develop advanced physical and computational models integrating transcriptional and biomechanical data during mammalian gastrulation. This position is part of
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dynamics, and how these mechanisms regulate innate immune signalling in response to microbial threats such as lipopolysaccharide (LPS). By employing genetic knockout models, advanced imaging, and metabolic
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. Applicants should have a Ph.D. in Biological/Biomedical Sciences, Microbiology, Bioengineering, or a related field, with experience in cell culture, molecular and cell biology, and animal models. Skills in
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diffraction, modeling. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR7198-MELDOG-035/Default.aspx Work Location(s) Number of offers available1Company/InstituteInstitut Jean
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Simulation” (Reference: PID2024-157499OB-C31). This project focuses on the development of advanced computational models and optimization techniques for improving the performance of cochlear implants. It