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project entitled "Energy Storage as an Enabler of Sustainability through Optimization, Machine Learning, and High-Performance Computing," supported by the Dieter Schwarz Foundation through a Courageous
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part of a project entitled "Energy Storage as an Enabler of Sustainability through Optimization, Machine Learning, and High-Performance Computing," supported by the Dieter Schwarz Foundation through a
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one of the largest technology-oriented research environments in Europe. Full Professor (W2) in Mathematical Optimization at the Faculty of Mathematics and Natural Sciences We are inviting applications
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Semiconductor Laboratory of the Max Planck Society (HLL), Garching | Garching an der Alz, Bayern | Germany | about 10 hours ago
) – Quantum Sensors & Qubit Technology to join our team at the earliest possible date on a full-time basis (39 hours/week). Your responsibilities Develop and optimize quantum sensor concepts based on qubit
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peripherals in a shared lab space. regular maintenance and operation of the mass spectrometer developing sample work flows and data processing protocols conducting method development and optimization in
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, integration, and performance optimization of a state-of-the-art modelling framework, enabling increasingly sophisticated representations of marine biogeochemical processes and unprecedented high-resolution
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scientists. We are seeking an expert in an interdisciplinary field of research that combines expertise in bioprocess engineering, automation, and process optimization. Furthermore, the candidate’s current
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System Models. The successful candidates will contribute to the development, integration, and performance optimization of a state-of-the-art modelling framework, enabling increasingly sophisticated
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FDSOI devices for neuromorphic computing applications Develop and optimize semiconductor fabrication processes in a state-of-the-art cleanroom environment Perform electrical characterization and analyze
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. MINDnet aims at addressing the challenge through a holistic optimization - from individual computing devices to the overall architecture, including a focus on applications, and training methods - across