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can significantly improve the treatment and outcome of oncological patients. Project background You will contribute to the design and implementation of machine-learning-based sparse 3D image
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equality of opportunity, value diversity and nurture a working and learning environment in which the rights and dignity of all our staff and students are respected. Visit our Equal Opportunities and
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focuses on the development of AI systems with an emphasis on understanding and reshaping the role of human. The study context is broad, such as AI for clinical or legal decisions, AI for learning and
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Computer Vision & Visual Data Analysis profile, you have experience with Python, computer vision, image processing, or machine learning. Experience with PyTorch, image embeddings, vision-language models
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bioelectronics or software simulations, or a strong willingness to acquire it, alongside solid knowledge of electrochemistry and materials chemistry Candidates should be eager to collaborate closely with molecular
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bioelectronics or software simulations, or a strong willingness to acquire it, alongside solid knowledge of electrochemistry and materials chemistry Candidates should be eager to collaborate closely with molecular
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robotics, biohybrid living systems, dexterous manipulation and robot learning, and simulation for embodied AI. We are looking for exceptional candidates in any of them. This round we especially want two
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robotics, biohybrid living systems, dexterous manipulation and robot learning, and simulation for embodied AI. We are looking for exceptional candidates in any of them. This round we especially want two
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to the forefront of this development by exploring innovative approaches and trying them in practice. Job description Conduct research on methods for match and performance analysis Teach and supervise students
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work, as well as record and report results with clarity and details. Proactive and motivated to learn and master new methods and techniques. Able to work independently and within a team. We offer