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of technical documentation. Your profile: A completed university degree (Master's or equivalent) in Bioinformatics, Computer Science, Life Sciences, or a related discipline. Strong expertise in database
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technologies, regulations and processes involved in translation from bench to bedside, ethics. For more information, please see https://www.phd-regsci Your application Applications are invited from 1st
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. Qualified candidates are asked to apply via the Appointment Portal of the University of Bonn (https://berufungsportal.uni-bonn.de/openProcedureList.do ). The application can be submitted in German or English
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) | Institute of Molecular Oncology and Functional Genomics Our research is focused on gene discovery, functional gene annotation and signaling in cancer. We study biological processes, such as malignant
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positions of Professor (W2 or W3) in cellular biochemistry and Professor (W2 or W3) in molecular biochemistry as part of the SCALE Cluster of Excellence – SubCellular Architecture of LifE (https://scale
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and reactive processes in materials with multicomponent composition. You will play a pivotal role in this undertaking, developing core quantum-computing methods and methodical interfaces for integration
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, train and test novel machine-learning-based solutions on top-tier super-computing hardware Work in an interdisciplinary team of engineers, computer scientists, and life scientists Regularly participate in
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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | 3 months ago
domains of population research by combining the methods and perspectives of computational sciences, social and behavioral sciences, and statistics. The field has emerged in parallel with rapid technological
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sintering press with selected copper pastes, followed by detailed characterization of the resulting interfaces in terms of porosity, thermal and mechanical integrity. In parallel, simulation models will be
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interdisciplinary team of engineers, computer scientists, and life scientists Present your work at international conferences and learn about state-of-the-art methods in machine learning, reinforcement learning and