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communication of findings at consortium meetings, (inter)national conferences and in peer-reviewed journals. Your profile PhD degree in biology, toxicology, life science or a related field High motivation to work
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are required to have: A completed PhD degree. Experience in machine-learning methods. Some skill in at least one of these topics: Large data sets analysis Statistics and uncertainty analysis (probabilistic
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qualifications with a PhD in physics, electrical engineering, materials science or a related subject, and a background in magnetic thin films, nanostructures and spintronics. You should be motivated, proactive and
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and validation through indoor and outdoor experiments. Your profile We seek a highly motivated and dedicated postdoctoral researcher with a PhD (or equivalent) in robotics, materials science/engineering
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and validate the equipment. Your profile PhD in Materials Science, Mechanical Engineering, or Experimental Physics Experience in determining mechanical properties at surfaces Experience in surface
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workshop support. Key requirements: PhD degree (held or near completion) in Physics, Nanoscience, Electrical/Optical Engineering, or related fields Strong background in condensed matter physics and optics
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Supervision of BSc and MSc students Your profile We are looking for a highly creative self-motivated team player You have a PhD degree in Materials Science or Chemistry combined with Machine Learning In depth
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with exam grading. - The anticipated start date is 1 September 2025 (earlier start dates can be considered). - A PhD in Mathematics (completed by the start date) is required. Please submit your
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22 Feb 2025 Job Information Organisation/Company Swiss Federal Institute for Forest, Snow and Landscape Research WSL Research Field Agricultural sciences » Forest sciences Biological sciences
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the field of Computer Science or similar Solid background in the foundations of reinforcement learning Proven research experience with first-authored publications at peer-reviewed conferences (ICML