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processing, machine learning, and human-computer interaction. The goal of this PhD is to develop neuromotor interfaces for dexterous robot teleoperation using two sensing modalities: 1) surface
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chronic disease prevention. The PhD student will work in an interdisciplinary team spanning behavioural scientists, clinical psychologists, computer scientists, AI engineers, and health systems researchers
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study design, scientific methods, and statistical modelling Python, C# or equivalent language expertise Basic knowledge of machine learning or deep learning Desirable Skills Exposure to musculoskeletal
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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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100%, Zurich, fixed-term The Neurotechnology Group of Prof. Mehmet Fatih Yanik at ETH Zurich is recruiting outstanding postdoctoral researchers and PhD students to join a newly funded LOOP Zurich
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and institutions that interact with them. You should bring: A master’s degree in computer science, machine learning, HCI, or a related field. Strong foundations in machine learning and familiarity with
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be advantageous. Experience in medical imaging, computed tomography, image analysis, or morphometric analysis. Experience with machine learning, statistical modelling, parameter estimation, model
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100%, Zurich, fixed-term We are looking for a motivated PhD student to join our team, with a start date in late 2026 or early 2027. The Laboratory of Toxicology in the ETH at the Department
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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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senior researcher on the project, you will co-supervise the PhD student and master's students working alongside you, take ownership of driving the work end to end, and lead dissemination through