203 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:" positions at ETH Zurich
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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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; 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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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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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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., at Paul Scherrer Institute) Fabricating thin-film devices in a cleanroom and performing electrical and transport characterization Using first-principles calculations and machine-learning foundation models
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units. Through cartography, these units are organized into latent spaces that can be explored as structured landscapes. In this way, machine learning becomes a tool for mapping high-dimensional data
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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