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promising solution to support such a demand by getting inspired by the brain’s powerful and energy-efficient processing capabilities. MINDnet aims at addressing the challenge through a holistic optimization
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, knowledge-based societies. Specialised research agendas have been grouped into four thematic pillars at BAGSS: Education, Personal Development, and Learning from Early Childhood to Adulthood Educational and
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therapeutics by protein design. This project will apply cutting-edge generative AI methods—including protein design, structure–function prediction, and multimodal learning—to develop and optimize a new
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settings. Very good self organization. Desirable Skills Very good knowledge of fluid–structure interaction (FSI). Good experience with digital twins, model updating, or structural dynamics. Understanding
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engineering or chemistry) Good knowledge of electrochemistry, materials science and/or process engineering systems is an advantage Knowledge of relevant programming languages for data processing/evaluation
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computational optimization of additively manufactured Mg alloys for biodegradable implant applications. Host: Helmholtz-Zentrum Hereon, Geesthacht, Germany, with PhD degree awarded by Kiel
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | about 2 months ago
optimal transport methodologies. Your tasks Analyse disease mechanisms, facilitated by cutting-edge data from techniques like spatial transcriptomics and protein mass spectrometry Contribute
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- and ML-ready information to develop and implement an indirect inverse optimization framework to identify microstructures that exhibit desired macroscopic properties to publish and present research
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at the department. The main supervisor will be Prof. Dr. Kathy Lüdge from TU Ilmenau. Where to apply Website https://jobundkarriere.tu-ilmenau.de/jobposting/80cd5964173be4cf2a6646500503798… Requirements Research
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to challenging problems in mass spectrometry. Independent and cooperative working in an international, interdisciplinary team across institutes Excellent communication and organizational skills Excellent knowledge