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Robot Learning (https://ellis-stuttgart.eu/research/ ). To strengthen our joint research activities, we are looking for an excellent and highly motivated scientist with an outstanding early-career track
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of response and develop predictive models. The work will involve analysis of large-scale datasets through multiomics integration, machine learning, statistical genetics, QTL analysis and development of genetic
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welcomed. The project sits at the intersection of statistical genetics, systems biology, and machine learning, with strong emphasis on methodological development. Tasks of the PhD Student - Develop and
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Join us in designing stable materials for sustainable energy devices with machine-learning-accelerated simulation and modeling. Work assignments The postdoctoral researcher will develop machine
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to begin August 2027. We seek excellent candidates in all areas, with specific needs in AI/machine learning, AI security, and computer systems support for AI. A demonstrated ability to collaborate with
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electronics, computing, communications, power, sensing, and controls. We offer ABET-accredited Bachelor's degrees in Electrical Engineering and Computer Engineering, along with a Master's in ECE and a PhD in
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at different percentages can be made by mutual agreement. This position aims to build upon Berkeley’s legacy at the intersection of statistics and computer science in the areas of Machine Learning (ML) and
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is developing research excellence in areas including Machine Learning, Big Data, Visual Analytics, Computational Intelligence, Machine Learning, Software Implementation and Testing, and their
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at NTU are looking for a Research Fellow (RF) to carry out in research in probabilistic machine learning, causal discovery and GenAI, by exploring cutting-edge approaches such as causal representation
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AITHYRA GmbH - Research Institute for Biomedical Artificial Intelligence of the Austrian Academy of Sciences | Vienna, Virginia | United States | about 20 hours ago
Do you want to help transform human health through machine learning and life science approaches? Join AITHYRA in Vienna for a fully funded PhD at the intersection of machine learning, experimental