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computer science, bioinformatics or related fields Solid understanding of machine and deep learning and relevant frameworks (e.g. Pytorch or Tensorflow, Keras, scikit-learn, OpenCV) Proficiency in Python, Linux and
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of Crystallography, RWTH Aachen University. Comprehensive training programs and individual opportunities for personal and professional development Comprehensive company health management Optimal conditions for
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | 5 days ago
the world flexible working hours and the possibility of mobile working up to 50% of regular working hours health promotion and company fitness with Hansefit and Wellhub support services and a culture of
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will benefit from our family-friendly and collegial atmosphere, our established health management and occupational pension provision. As a public funded employer, we offer you a secure workplace and
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health management (back training, health day with various offers), discounted sports offers from the Dresden University Sports Center, job-related further training opportunities and language courses
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Max Planck Institute for Brain Research, Frankfurt am Main | Frankfurt am Main, Hessen | Germany | 29 days ago
hub with excellent travel connectivity and a large community of expats and internationals A corporate health management (e.g. company doctor, sport courses) An inhouse cafeteria and bistro Good
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is connected to the vibrant local ecosystem for data science, machine learning and computational biology in Heidelberg (including ELLIS Life Heidelberg and the AI Health Innovation Cluster ). Your
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international collaborations Your profile at our group: analysis of high-throughput proteomic, (single cell) transcriptomic, digital spatial and other omics data in health and disease states multi omics data
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: Analysis and Geometry Appl Deadline: 2025/07/13 11:59PM (posted 2025/06/06, listed until 2025/08/25) Position Description: Apply Position Description In the Faculty of Faculty of Computer Science
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intelligence and perception. Its three central innovation sectors are the future of health, the future of work, the future of the environment, and the future of mobility. 70 professors from various TUM faculties