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incomprehensible model parameters that have been learned from data. For instance, why does a machine learning model predict that it is unsafe to discharge a certain patient from the intensive care? Or which
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study how warming will affect marine life in Antarctica as part of a project entitled ’How will the unique aquatic ectotherm communities in Antarctica cope with warming and bioinvasions?’ financed by
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-carbon-and-nitroge… Requirements Specific Requirements You have background knowledge on soil fertility, especially related to carbon and nitrogen dynamics and management. You enjoy with working
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Job description High-tech greenhouses play a crucial role in ensuring sustainable, affordable, and reliable local food production. The construction and operation of high-tech greenhouses is
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and eager to take the initiative. And you have the planning skills to deal with a very complex PhD project. You also have: An MSc degree in physics, or a closely related field. Knowledge of laser and
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machine learning models. You care deeply about privacy and are keen to create. You have a good command of spoken and written English. You are motivated to publish at top-tier academic venues. What we offer
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on sustainability and global change. Your qualities You have background knowledge on soil fertility, especially related to carbon and nitrogen dynamics and management. You enjoy with working on interdisciplinary
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accurate constitutive models for the bending behavior of molten reinforced thermoplastic plies, which in turn depends on careful rheological characterization. In this project you will: Perform rheological
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sewage sludge EPS to improve the dewatering performance. This research will help reduce costs, improve sustainability, and support more efficient wastewater management. Your profile We are looking for a
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manufacture microfluidic chips and devices which should be operational under oxygen-free conditions. Integrate NMR detectors and electronics with the anoxic microfluidic platform and perform high-resolution in