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, machine learning algorithms, and prototypical energy management systems (EMS) controlling complex energy systems like buildings, electricity distribution grids and thermal energy systems for a sustainable
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, machine learning algorithms, and prototypical energy management systems (EMS) controlling complex energy systems like buildings, electricity distribution grids and thermal energy systems for a sustainable
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and their processing on the FPGA of a frame grabber card You will program the PC software for configuring and controlling the algorithms on the FPGA Your tasks will include designing the transfer
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contact Prof. Dr. Daniel Heyen (daniel.heyen@wiwi.rptu.de ). The appointment presentations are scheduled to take place in calendar weeks 45, 46 or 47.
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-generation sequencing) Support of laboratory experiments with living plankton and invertebrates Laboratory organisation, together with scientists, including ordering of consumables, scheduling of space and
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operating conditions Design and implement optimization algorithms to improve the performance of the engine, battery, fuel cell, transmission, and hydraulic systems, considering constraints such as component
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. Therefore, we employ a broad range of artificial intelligence algorithms that enrich process data with sophisticated domain knowledge and semi-supervised approaches to incorporate unlabeled data. We
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international partners. Become part of our team Senior Data Specialist (f/m/d) Work schedule: full-time (currently 39 hours and 24 minutes) Duration: at the earliest possible date, limited to 24 months (we aim
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AI and machine learning algorithms? Then you've come to the right place. Excellent programming skills (preferably in Python) are required. A strong interest in interdisciplinary work at the
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university and your preferred schedule. Please note: We cannot offer remuneration for the writing of theses. However, you can expect an exciting research topic and intensive professional supervision. We value