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Field
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, and collaborative work to generate insights that help shape living conditions for individuals and societies to thrive. We combine pioneering interdisciplinary research infrastructures with local and
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evaluation strategies. In close collaboration with chemists, engineers and data scientists, a platform is being developed that combines materials development, process optimisation and machine learning
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, collaborative, and transdisciplinary basis. The MPIWG is renowned worldwide as a hub for reflection on the role of the sciences in politics and society. It is located in southwestern Berlin, close to the campus
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team explores new applications of AI in collaboration with the diverse scientific disciplines associated with the Helmholtz Association. Within our lab “Applied Machine Learning”, you will play a crucial
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Max Planck Institute for Heart and Lung Research, Bad Nauheim | Bad Nauheim, Hessen | Germany | 3 months ago
(BTA, MTA, or equivalent) Excellent communication skills in both German and English Ability to work independently as well as collaboratively within a dynamic team Strong motivation to learn new methods
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The professorships “Big Geospatial Data Management” and “Information Systems” are seeking to fill a research associate position (doctoral candidate) in close collaboration with each other to support
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magnetic resonance methodology and instrumentation. Within the CRC, ample opportunities exist for learning, networking, and collaboration. Salary will be in accordance with guidelines of the Deutsche
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the vibrant Rhine-Main science region, the university can exploit its full potential and showcase its innovative power and dynamics. Its status as a comprehensive university fosters multidisciplinary learning
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data • Design clinically meaningful benchmarks and robust evaluations • Publish at leading machine learning and medical AI venues • Collaborate with clinicians, computer scientists, and European partners
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | about 2 months ago
environment. Desirable qualifications Strong knowledge of statistics, statistical learning, or probabilistic modeling. Experience collaborating with experimental scientists, biologists, or clinicians. Interest