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vehicles. Another research focus is on solid-state pulse modulators for medical applications (computer tomography/cancer treatment) and accelerators (CERN). For the design and optimisation of the various
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sensors and usage logs using advanced statistical and machine learning approaches to develop personalised nudging and adaptive interventions. The candidate will also lead the development of a cross-platform
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, or design for manufacture is a plus. Programming and image-analysis skills, preferably in Python, and an interest in computervision, image processing, or machine learning. Experience with cameras
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; How you would handle longitudinal data and missing values; Which statistical and/or machine-learning methods you would consider How you would validate and interpret the results. No actual analysis is
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., at the intersection 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
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build highly coherent quantum machines capable of creating massively entangled quantum states for computing, simulation, sensing, and metrology. Project background Neutral atoms are one of the most
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knowledge and technology from research to Swiss machine, electrical and metal industries. The research group Control and Automation at inspire AG offers the following postdoctoral position as part of
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virtual environments Strong quantitative skills (R, Python, or Stata; experience with machine learning or advanced experimental methods is a plus) Familiarity with VR-related toolkits (e.g., Unity, Unreal
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science methods for nowcasting, high-frequency indicators construction, machine learning, time series econometrics and maintains the data and tools that feed the regular KOF macroeconomic forecasts. Job
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tickets and car sharing, a wide range of sports offered by ASVZ, childcare, and attractive pension benefits. chevron_right Working, teaching and research at ETH Zurich We value diversity and sustainability