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. Information about the job You can find information about the faculty and the working group issuing the call for applications at: http://www.uni-due.de/physik/wende/ https://www.uni-due.de/
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culturing, integrating multiple automated subsystems with image-based machine learning models. Our objective is to enable robotic decision-making through machine learning, paving the way for a standardized
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for floral traits Discover, isolate and functionally characterize genes/alleles of direct or indirect traits related to grain number in wheat or barley Use field/greenhouse experiments and macros-/microscopic
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the possibility of an extension. TASKS: Mathematical modeling and development of inverse methods (e.g. Bayesian inversion, optimization based methods, sparsity promoting methods based on L1-norm minimization and
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relation to the use of syntactic structures in coordination with various bodily resources, such as gaze, facial expression, object use, movement in space, etc. Your tasks will involve collecting and
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Max Planck Institute for Biological Intelligence (Seewiesen site), Seewiesen | Germany | 2 months ago
how, in the course of evolution, animals developed abilities to cope with a constantly changing environment and to find ever new solutions to problems. For a Human Frontiers Science Program project
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candidates will be given preference. Find out more about us at www.tum.de. The position is suitable for disabled persons. Disabled applicants will be given preference in case of generally equivalent
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Research profile in machine learning (e.g. robustness, out-of-distribution/anomaly detection, fairness, explainability, uncertainty quantification) or AI applications in the healthcare domain Interest in
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skills in agile project management and the application of workshop methods Good knowledge of object orientation and at least basic knowledge of UML Knowledge of minimum one programming language (e.g. C
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(sbv.desy.de ). You can find further information here: https://www.desy.de/career Deutsches Elektronen-Synchrotron DESY Human Resources Department | Notkestraße 85 | 22607 Hamburg Phone: +49 40 8998-3392