55 algorithm-development-"University-of-Surrey" uni jobs at Technical University of Munich in Germany
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the focus on "Digital Twin development for industrial sucrose crystallization " Project Join an exciting research initiative at the forefront of Industry 4.0 and process systems engineering. The project
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, aiming to explore and develop AI algorithms, frameworks, and hardware architectures for efficient edge deployment in vehicles, with a focus on neuromorphic computing. You will be part of the scientific TUM
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for a Staff Data Scientist/Steward or Software Developer (f/m/d) to facilitate the development of ProteomicsDB with a good background in bioinformatics, data visualization, big data analytics at best in
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full-stack developer position to be filled on August 1st 2025 to enlarge our strong research team developing production-quality medical NLP applications. Full-Stack Developer Position at TUM (sebis
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processing workflows including QC and reproducibility metrics * APIs and packages supporting the development of new algorithms spanning large * language modeling of DNA and RNA sequences, and algorithms
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energy use more efficient. We develop new optimization methods, machine learning algorithms, and prototypical energy management systems (EMS) controlling complex energy systems like buildings, electricity
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HMI 22.01.2024, Wissenschaftliches Personal You want to influence future technologies with your own ideas? You want to work in a team on the challenges of autonomous driving and bring autonomous driving to the road? Then this position is just right for you! Über Uns Im Autonomous Vehicle Lab...
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and evaluation of innovative data- and machine learning-based systems to integrate more renewable energy into our energy systems and make energy use more efficient. We develop new optimization methods
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of Munich (www.cda.cit.tum.de ). Accordingly, we are currently searching for a Ph.D. Student to join our team to work on Design Methods for the European Train Control System! Our Research The European Train
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and evaluation of innovative data- and machine learning-based systems to integrate more renewable energy into our energy systems and make energy use more efficient. We develop new optimization methods