31 model-driven-development "Integreat Norwegian Centre for Knowledge driven Machine Learning" Fellowship positions in Germany
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for Biological Cybernetics. The successful candidate will work on a highly interdisciplinary and ambitious research program that aims to apply theory-driven cognitive computational modeling to rich and intensive
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will work on a highly interdisciplinary and ambitious research program that aims to apply theory-driven cognitive computational modeling to rich and intensive educational data obtained from learning
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, data-driven experimentation in colloid science. The successful candidate will contribute to the development of self-driving laboratory capabilities integrating robotics, high-throughput experimentation
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modifications (PTMs) and will use advanced in vitro and animal models for translational studies to develop knowledge based nutritional intervention strategies for hub molecules. The hub molecules of life
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. The successful candidate will develop machine learning models for large-scale biological data and connect predictive modeling with mechanistic understanding. As part of Karsten Borgwardt's Department of Machine
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web development and deployment is another strong plus. We provide Dedicated access to the computational infrastructure of the MPCDF (B200, H200, A100). Access to open-weight models (with internal API
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researchers to advance scientific knowledge while contributing to the development of AI-driven solutions with real-world impact. The research stay can be carried out at any of the following universities or re
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models for graphs. As part of Karsten Borgwardt's Department of Machine Learning and Systems Biology, these methodological advances will provide the foundation for a broad range of downstream analyses
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light-matter interactions - support the development and implementation of BECCAL, especially by modelling the system and exploring experimental sequences for the operation of BECCAL during the later
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to cutting-edge research on collaborative learning, multimodal learning analytics, and artificial intelligence. The position offers substantial opportunities to develop an independent research agenda within