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spectroscopy with a strong emphasis on heteronuclear relaxation methods to study molecular dynamics, and methods development within this area Supervision of Master students and PhD students Teaching in second
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methods that can accurately model such processes remains an open and active research frontier. This PhD project is fundamentally about advancing that frontier, contributing new methods for generative
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strong background in computer science, including formal methods and mathematics, as well as an interest in AI and safety-critical systems. Good programming skills are required. Supervision: Prof. Elena
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protein NMR spectroscopy with a strong emphasis on heteronuclear relaxation methods to study molecular dynamics, and methods development within this area Supervision of Master students and PhD students
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the world. With new knowledge and new perspectives, the University contributes to a better future. Marie Curie PhD position in Physics Applications of Negative Ions (PANIONS) Geneva, Switzerland (Full
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, and datasets; often at substantial computational and environmental costs. This PhD project targets sustainable and resource-efficient machine learning with a focus on methods that reduce compute, energy
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look forward to receiving your application! Do you have a background in machine learning and interested in telecommunications? You have a chance to contribute to development of sensing methods for new
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missing physics rules to interpret experimental observations. The GLYCOCALYX Network will train 15 PhD Fellows in chemistry, physics and biology methods and concepts required to resolve the dynamic
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application! We are looking for a PhD student in Statistics and Machine Learning Your work assignments We are looking for a PhD candidate to work in the intersection of computational statistics and machine
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written English, ability to work both independently and collaboratively. Additional qualifications Experience or coursework in one or more of the following areas is considered an advantage: formal methods