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the responsible recruiters and not by artificial intelligence. ETH Zurich is one of the world’s leading universities specialising in science and technology. We are renowned for our excellent education, cutting-edge
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Theory, Queuing Theory, Age of Information), Network Calculus, Graph Theory, Convex and Non-convex Optimization, Approximation Algorithms. An excellent Master’s degree in Computer Science, Engineering
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, Environmental sciences, or a closely related field. Proficiency in programming, particularly in Python, is essential. Knowledge of GIS (QGIS or ArcGIS). Experience working with spatial data, shapefiles, raster
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We offer you We are a highly interdisciplinary, international, and divers team of scientists, committed to work at the frontier of science. Our team is very supportive and strong in communication
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100%, Zurich, fixed-term In the newly established Brain-Body Regulation Lab at ETH Zurich (Department of Health Sciences and Technology), we focus on developing non-invasive (self-regulation
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among research groups Establishing mechanisms to gather input, needs, and feedback from community members Managing the ETH Zurich side of the Joint Doctoral Program on Learning Sciences (JDPLS ), and
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Computer Science, Artificial Intelligence, or related field. Proven experience in machine learning and neural network architectures. Strong programming skills in Python and familiarity with PyTorch. Experience with
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most of the following: Bachelor's or (preferably) Master's degree in Computer Science, Engineering or a Social Science discipline combined with solid engineering skills 1–2 years of relevant work
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, computational genomics, or animal genomics. Experience with a programming language (e.g., python, R) and basic working knowledge with high-performance computing clusters is required. A MSc degree in genetics
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diseases. To understand and promote the well-being of people in different cultural and environmental contexts, EPH applies various methods ranging from anthropology and social science to biostatistics and