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Institute of Molecular Mechanisms and Machines, (IMOL), Poland, and the Leicester Institute of Structural and Chemical Biology, United Kingdom. Your work may include clinical and biomedical projects. It may
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fundamental and applied research in different areas of Human-Computer Interaction (HCI) such as visualization, human-centered design, privacy, graphical design, and human-centered AI. We are looking
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these postdoctoral positions are aimed for you! Subject description The project, Dual Control at Scale: Learning-based control for systems with millions of states, is funded by an ERC Advanced Grant, a
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. Special reasons include absence due to illness, parental leave, appointments of trust in trade union organisations, military service, or similar circumstances, as well as clinical practice or other forms
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. Qualifications We invite applications from outstanding researchers with the following qualifications: a doctoral degree (not older than three years) in any field relevant to project, i.e., machine design, product
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well as excellent collaboration and communication skills. A good communicative ability in both spoken and written English is required. Meritorious Previous experience working with warp knitting machines. Previous
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research and learning institution and home to students, researchers and faculty from around the world. Our research and education covers a wide area including natural sciences and all branches of engineering
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research and learning institution and home to students, researchers and faculty from around the world. Our research and education covers a wide area including natural sciences and all branches of engineering
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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