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Machine Learning ” within the research group “ Data Mining and Machine Learning ” at the Faculty of Computer Science, led by Prof. Tschiatschek, develops methods of machine learning and artificial
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technical knowledge in areas such as: Foundational Models Algorithmic Research Machine and Deep Learning Computer Vision Edge AI, TinyML, and Embedded AI Explainable AI Safe AI Federated, Parallel
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) and brings together expertise in protein engineering, advanced microscopy, and machine learning. Our goal is to develop a protein biosensor optimization pipeline that integrates high-throughput
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Rehabilitation robotics Learning Systems, including Robot learning Machine learning Computer vision Intelligent control systems Candidates should have a strong international track record of creative research
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continue until the position is filled. Principle Responsibilities: The successful candidate will teach anatomy & physiology or histology courses, introductory biology courses, and offer versatility in
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Pathology and Neuropathology). In this position, you will be a key member of our interdisciplinary team, working closely with image scientists, machine learning researchers, and clinical collaborators
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theory, machine learning interatomic potentials, machine learning Hamiltonians) for the investigation, optimization, and design of sustainable energy materials (especially batteries) Development
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-performance climate computing and data facility. Our expectations: outstanding scientific credentials and relevant research activities in high-performance computing, machine learning, or AI significant
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of image processing e.g. using machine learning German skills For further questions, contact Dr. lmke Greving (imke.greving@hereon.de). We offer you an exciting and varied job in a research centre with
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will have: ● PhD degree in molecular biology, genetics, biochemistry, biomedicine, medicinal and biological chemistry, bioinformatics, machine learning, biophysics, chemistry or similar, with adequate