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Field
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-printed functional devices interact with their environment, responding to stimuli (temperature, light, etc.), and “4D-printed” devices respond over time (e.g. changing shape), controlled by the arrangement
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well as ecological interactions. These data will be analysed to understand similarities and differences between disturbed and undisturbed patches to assess resilience. If feasible, measures of resilience will be
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creativity. We believe that innovation thrives in a setting where everyone feels valued, heard, and inspired to explore bold ideas. This position offers an exciting opportunity to be at the forefront
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Job Description Could you imagine designing clusters for catalyzing chemical reactions at the atomic-scale? The Center for Visualizing Catalytic Processes (VISION) is offering a PhD positions for
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to support safe-by-design development of plant-based meat alternatives improving supply chain sustainability and limiting food waste. The novelty of the project relies on the development of multi-species
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Apply now Coastal dunes are crucial for society but face growing pressure from sea level rise, storms and human disturbance. Coastal dune evolution is determined by interactions of vegetation, wind and
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Job Description You will join a supportive and dynamic research team working at the intersection of machine learning and operations research. Your main task will be to design and implement ML
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friendly catalysts and substrates. We use NMR spectroscopy for serendipitous discoveries and unbiased characterizations of molecules, their conversion, and their interactions in complex systems. Solvent
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year project, funded by the DDLS program, we aim to develop AI-based tools in design of affinity ligands, such as the prediction of binding interactions between proteins. Data-driven life science (DDLS
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to enable discoveries that improve people’s lives. Its 20-year vision is for large-scale data and advanced analytics to benefit every patient interaction, clinical trial, and biomedical discovery and to