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environments - Semantic scene-understanding in natural environments for robust decision-making - Learning-based traversability-aware path planning and safe trajectory generation - Resilient mission design for
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classification and multi-layered environment mapping - Digital twin generation for natural environments - Semantic scene-understanding in natural environments for robust decision-making - Learning-based
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. Eran Elhaik to design machine-learning models that unlock the potential of genomics for forensic investigations and historical reconstructions. Work duties We aim to develop machine learning methods
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computational costs by orders of magnitude and enabling breakthroughs in drug design and materials science. The position bridges machine learning and molecular science, with opportunities for collaboration
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University is offering a postdoctoral scholarship within optical metrology linked to machine learning. The postdoctoral scholarship is full-time 6 months, beginning on October 15 , 2025, or as agreed upon
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combine large-scale data, computational methods, and clearly articulated social-science theories to improve our understanding of society. Recent advances in machine learning, natural language processing
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. The position includes the opportunity for three weeks of training in higher education teaching and learning. The purpose of the position is to develop the independence as a researcher and to create
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-of-computing-science/ Project description and working tasks The project will develop privacy-aware machine learning (ML) models. We are interested in data-driven models for complex data, including high
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research. Teaching may also be included, but up to no more than 20% of working hours. The position includes the opportunity for three weeks of training in higher education teaching and learning. The purpose
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fluids, flow-induced pattern formation in both simple and complex flows (e.g. flow instabilities, product defects), multiscale analysis, and the application of machine learning techniques. About the