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, documentation, and experimental implementation Profile PhD in Mechatronics, Robotics, Electronics, or related engineering areas Proficiency in mechanical design, embedded systems, and hardware-software
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100%, Zurich, fixed-term The Optical Nanomaterial Group in the Physics Department at ETH Zurich is looking for a PhD student in quantum metamaterials. Optical metamaterials are a rapidly maturing
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approaches. Profile PhD in biochemistry, analytical chemistry or related fields, with at least 3 years demonstrated practical experience in proteomics sample preparation, LC-MS/MS and data analysis and data
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the admission requirements for a PhD at ETH Zurich Experience in machine learning, optimization, or AI-driven decision-making Preferably with knowledge of Bayesian optimization or Gaussian processes
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, human physicians, veterinarians, or pharmacists with a doctorate (PhD, MD-PhD) and at least 2 years of postdoctoral experience or a comparable qualification may meet the requirements. Excellent scientific
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We look forward to receiving your online application. In the field for additional information, please include your PhD, MSc, and BSc degree details (university, dates, and relevant experience). When
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this position, and career goals Contact information of 3 potential referees Curriculum Vitae Publication list A copy of your M.sc. or PhD certificate Coding sample / Github account / any other relevant
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with finance, budget, and student offices to ensure compliance with ETH policies and procedures. Additionally, you will initiate and support personnel workflows such as contracts for PhD students
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to demonstrate prior achievement. University degree in any field with 3–7 years of relevant experience (multiple roles and/or post-PhD), with a strong preference for life sciences or health backgrounds and/or
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Head of the Epidemiology & Psychopathology Research Center with an Associate or Full Professor title
equivalent), MD, MD-PhD or PhD Specialist title degree in psychiatry (ISFM or Mebeko equivalent) or PhD in psychology Proven high level track record in psychiatric epidemiology including expertise in family