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pride in being an inclusive community of outstanding learners, investigators, clinicians, and staff where interdisciplinary collaboration is embraced and great ideas accelerate translation of fundamental
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. Contributing to the design and evaluation of learning platforms that provide personalized and adaptive learning experiences. 3. Working closely with Assoc. Prof. Suranga Nanayakkara, collaborating with
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research activities across disciplines including aerospace, combustion, design, fluid mechanics, materials, mechanical, mechatronic and robotics engineering. To learn more about the School click here We
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. The postdoctoral researcher(s) will join an international research environment at Umeå University, including Stat4Reg (www.stat4reg.se ), which develops statistical and machine-learning methods for register data
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microscopy, tissue culture, biochemistry, physiology, or biophysics. Enthusiasm and commitment to pursue novel research areas and develop new techniques and approaches. Team player with an interest in learning
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 15 days ago
); and propagation of physics-traceable soil moisture uncertainty into precipitation estimates. Machine learning approaches are welcome as tools within this framework — for example, learning the space–time
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to creating an inclusive environment where people at every career stage can learn and grow. Job Description Primary Duties & Responsibilities: Information on being a postdoc at WashU in St. Louis can be found
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machine-learning methods using experimental data provided by collaborating experimentalists. A central part of the work will be to identify and define the most relevant parameters governing material growth
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recycling end-of-life solar panels and will collaborate closely with the industry partner. The project involves delaminating solar panels, recovering constituent materials, and extracting valuable resources
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the computational task: first-principles active-site descriptor models, high-throughput screening with machine-learned interatomic potentials, and a dedicated catalysis database. This position is ideal for a