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optimization of the trade-off between accuracy and speed: measurement of throughput (labels/hour), uncertainty/confidence thresholds, human-in-the-loop strategies, cost/benefit considerations for different data
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workshops teaching communication skills, reasoning, problem-solving strategies in science, or simply showing how one can optimally budget energy, GRADE strengthens personal qualities and helps to transform
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of optimization, inverse problems, or sensitivity analysis. Familiarity with surrogate models (ROMs, ML-based surrogates). Motivation for renewable energy and wind turbine technology. What We Offer Fully funded
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to evaluate the progress of the doctoral research project. Excellent Conditions Our aim is to create an optimal research environment for doctoral researchers and to provide you with every possibility
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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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their legal foundations. Additionally, it provides reflection on their relevance for society. In Konstanz, you will find optimal conditions for research, studying, and teaching. The University of Konstanz has
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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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to improve the use of artificial intelligence. This involves continuously optimizing the basic hardware components and refining the methods used to develop them. The design flow of these circuits and (sub
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modes and critical aspects of the process regarding cost optimization Evaluation, utilisation and exploitation of the results of the project Supervision of students (Bachelor, Master) Collaboration
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | about 1 month ago
optimal transport methodologies. Your tasks Analyse disease mechanisms, facilitated by cutting-edge data from techniques like spatial transcriptomics and protein mass spectrometry Contribute