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Field
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includes system operation, continued development, and performance optimization. The successful candidate will collaborate closely with the quantum metrology group at the University of Bonn and the geodetic
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the future with applied research. Diverse perspectives and approaches strengthen creativity and innovation in our scientific work. Would you like to help us shape a sustainable world? We are looking
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the future with applied research. Diverse perspectives and approaches strengthen creativity and innovation in our scientific work. Would you like to help us shape a sustainable world? We are looking
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work within the areas of the professorship and participate in teaching at the department. You are responsible for leading and supporting your employees in accordance with our leadership guidelines
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to provide scalable, faster-than-real-time capable methods and tools that enable the energy-optimal, cost-efficient and safe design and operation of future energy systems. Your Job This postdoctoral position
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learning concepts such as classification, regression, hyperparameter optimization, fine-tuning, debiasing, and AI model evaluation Knowledge of and practical experience in cybersecurity is an advantage A
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real-time data to describe future process behavior and make it usable for optimized process operation. The focus is on the modeling, numerical implementation, and control-oriented use of this digital
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management • Team player with the ability to work independently Your project: • Develop and optimize submerged lung model • Exposure of cells to extracts • Evaluate bio-assays as readouts related to cellular
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experts around the globe. The position You will lead the day-to-day operations of the platform, including scheduling, quality control, processing and analyses across label-free, TMT, and SILAC-based
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | about 1 month ago
tissue analysis. Your tasks Develop AI-driven virtual staining pipelines for the analysis of cancer tissue samples Design, train, and optimize generative AI models that transform unlabeled or 3D tissue