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with one or more of the department’s existing research groups. Your research is characterized by a high degree of methodological innovation. A broad applicability of the innovative tools and methods
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scientists, social scientists and transdisciplinary researchers and you will support the choice of methods for science and transdisciplinary integration. You will be part of the NCCR CLIM+ programme and
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advanced experimental methods is a plus) Familiarity with VR-related toolkits (e.g., Unity, Unreal, or eye tracking) is an advantage, especially for coordinating the technical side of the project but
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be used to control and create functionality in complex inorganic solids. We are currently establishing a laboratory for thin-film synthesis using physical vapor deposition methods, structural
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, careful, and motivated by experimental research. You enjoy working with complex geochemical systems and are excited by the challenge of developing new methods and datasets. An MSc degree in geochemistry
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Fabrication: simulation, optimization, and learned surrogate models to design and fabricate efficient, bioinspired robots. Reinforcement Learning and Machine Learning: data-driven methods that let robots learn
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expression/purification and structural biology methods (X-ray crystallography, cryo-EM or NMR) Evidence of commitment to reproducibility, e.g. through careful record-keeping, code repositories or open
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projects This includes helping students shape research questions, develop methods, collect and clean data, apply statistical approaches, improve their writing, and move from “I have an idea” to “I