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Applicants should hold an MSc degree in biomedical engineering, computational biology, computer science, applied mathematics, physics, mechanical engineering, or a related discipline. After
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survey data collection projects. The project explores public opinion dynamics in Switzerland in relation to environmental, planning and mobility preferences and behavior, changes therein, and linkages
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of computational and applied mathematics, including but not limited to data-driven numerical modeling, scientific machine learning and AI for science and engineering, computational uncertainty quantification
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Computer Science, Data Science, Artificial Intelligence, Machine Learning, or a related field. Exceptional BSc candidates with strong engineering experience will also be considered. Experience in AI and neural
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of psychology, technology, and human–computer interaction). We welcome candidates with a strong interest in fundamental research and, ideally, prior experience in VR research. The project duration is set for
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support systems and advanced data analytics (digital twins and artificial intelligence). Ideal candidates have a background in engineering with a specialization in biomechatronics, biochemistry
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knowledge of English Good knowledge of current computer software (MS-Office) Experience in molecular biology, cell biology, animal physiology would be a plus We offer Excellent working conditions in a
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100%, Zurich, fixed-term The newly established Solid-State Materials Chemistry Group at the Laboratory of Inorganic Chemistry, Department of Chemistry and Applied Biosciences (D-CHAB), ETH Zurich
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-class engineering institution that hosts state-of-the-art experimental facilities and a rich and vibrant scientific and entrepreneurial community. Information Only applications submitted through
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. Project background For the KOF Research Division Macroeconomic Forecasting and Data Science , we are seeking a student assistant to support a research project on macroeconomic reanalysis data and machine