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contribute to smart grids that make energy networks more efficient, mathematical models that assist medical doctors, schedules that make hospitals more efficient and numerical schemes to study multiscale fluid
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candidate with a doctorate in computer science, mathematics, data science, or related field with relevant experience. A strong interest in clinical applications is essential. Candidates who expect to obtain
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engaged in a broad range of biomedical research topics . We focus on the design and control of medical robotic systems for a variety of clinically-relevant applications. Our department has a strong focus on
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contribution to addressing the major societal challenges of the future. The research carried out at the Faculty of Science is very diverse, ranging from mathematics, information science, astronomy, physics
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. We focus on the design and control of medical robotic systems for a variety of clinically-relevant applications. Our department has a strong focus on prostheses, wearable exoskeletons, artificial
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on the design and control of medical robotic systems for a variety of clinically-relevant applications. Our department has a strong focus on prostheses, wearable exoskeletons, artificial organs, surgical robots
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Employment 0.8 - 1.0 FTE Gross monthly salary € 4,728 - € 6,433 Required background PhD Organizational unit Faculty of Social Sciences Application deadline 17 August 2025 Apply now How and why did human language evolve? What are the social, cognitive and environmental pressures that drive the...
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to pharmacy, from neurosciences to computer science, and from molecular and evolutionary biology to marine biology. Our researchers pursue fundamental key questions while collaborating with partners from
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data and the algorithms need to comply with local legislation. We seek a postdoctoral researcher who is interested in Developing Data-driven control solutions for medical mobile applications. Investigate
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automized positional therapy. We seek a postdoctoral researcher who is interested in Developing Data-driven control solutions for medical applications. Investigate the use of machine learning-based algorithms