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projects focusing on the development of UHF technologies and their translation. This focus can include the development, testing and optimization of pTx methods, RF coils, acquisition methods and advanced
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be involved in the three-year project “High Dimensional Hierarchical Optimization methods for Machine Learning and Stochastic Optimal Control”. Background or expertise in one or more of the following
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recommendations. 2. Assess patient pain interfering with optimal level of function or participation in rehabilitation – make appropriate physician contact for intervention. 3. Perform all aspects of patient care in
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with experts in climate modeling, geosciences and in renewable energy development have been set-up to respond to these societal issues. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 4 days ago
Establishing nucleic acid-based tissue targeting vehicles Utilize in vivo and in vitro models to study restoration of adipocyte dysfunction through targeted delivery of small molecules or siRNAs Optimize
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) plus additional days off (e.g. between Christmas and New Year`s) WORK-LIFE BALANCE: Optimal conditions for balancing work and private life, as well as a family-friendly company policy FAIR REMUNERATION
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to apply E-mail karriere@fz-juelich.de Website https://www.fz-juelich.de/en/careers/jobs/2026D-006 Requirements Additional Information Website for additional job details https://www.fz-juelich.de/en/careers
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/leadershipmodel ) provides details on the definition of the role of managers WORK-LIFE BALANCE: Optimal conditions for balancing work and private life, as well as a family-friendly company policy. The option
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hyperparameter optimization (HPO), as well as in designing and implementing AI+HPC+simulation workflows (experience with workflow managers for scientific applications is a plus) Experience in running large-scale
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efficient model parallel training Implementation and optimization of GPU-accelerated training pipelines Validation of models on patient-specific geometries obtained from MRI data Participation in conferences