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qualitative interviews and analysing quantitative survey data, including collaboration with other project researchers. Continuing your education/training with PhD courses offered by the University of Basel and
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experience in machine learning and data-driven modeling. Ability to work independently as well as collaboratively in an interdisciplinary team. Excellent command of English, both written and spoken. Previous
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topics. You collaborate on research and pedagogical projects and assist in academic administration to some degree. You will teach two hours per week (during the semester).
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expertise in 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
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cognition. Under the guidance of Prof. Jutzeler, a dedicated postdoctoral researcher, and collaborators, you will have access to unique clinical datasets, wearable sensing technology, and state-of-the-art
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heritage. Muoniverse brings together 30 research teams from universities, research institutions, and museums in a highly collaborative network, supported by the Muoniverse Research School, which coordinates
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library. Strong interest in machine learning, reinforcement learning, and fluid dynamics. Ability to work independently and collaboratively in an interdisciplinary team. Excellent command of English, both
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theoretical and experimental biology with advanced bioengineering and fostering close collaborations with leaders in material science, physics, and chemistry to drive transformative advances in systems biology
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facilities in Switzerland, France, Germany, UK, Japan and the USA Data analysis and modeling will be done in collaboration with research groups that specialize in theoretical and numerical calculations Profile
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the Swiss National Science Foundation. This collaborative project (EPF Lausanne, University of Lausanne, ETH Zurich) aims to improve the performance of joint arthroplasty through the use of novel materials