252 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:" positions in Switzerland
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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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sustainable and climate-neutral university You can expect numerous benefits , such as public transport season tickets and car sharing, a wide range of sports offered by the ASVZ , childcare and attractive
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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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, spacecraft, avionics, payload, software, and operations domains. We are looking for someone with: Master’s degree in computer science, electrical engineering, computer engineering, aerospace engineering
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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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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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, Enviromental, and Geomatic Engineering, has an opening for a PhD student. This position focuses on leveraging vehicle sensors, remote sensing, and machine learning to support modern urban road safety analysis as
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technologies Data analysis of real-world monitoring data Artificial intelligence and machine learning for engineering applications Researchers in COMBINE benefit from interdisciplinary, international,and inter
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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