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100%, Zurich, fixed-term The ODI group at the Institute of Machine Learning is looking for highly motivated postdoctoral researchers with expertise in reinforcement learning (RL) to join our team
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Geology or other related discipline Demonstrated expertise in machine learning and computer vision algorithms is necessary, with an emphasis on object tracking, optical flow and sensor fusion Knowledge
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PhD in Computational Materials Physics or a related area is required. Experience with electronic structure calculations is essential. Familiarity with the use of machine-learning tools in materials
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of academic output. Presenting the project internally and externally, and preparing material for such presentations. Profile Mandatory Requirements: You have: Demonstrable experience with machine learning tools
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responsibility in a highly interactive international environment with other Postdocs and PhD students. Moreover, the candidate will also be involved in project management and grant acquisition. The position is
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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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2025. Profile A PhD (or equivalent doctorate) in Business Administration, Management, or a related field (e.g., Psychology, Sociology, Engineering, or Economics). A strong publication record (or
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contributing to solutions in the global energy landscape. If you excel in collaborative environments and can bring expertise in some of the areas listed above, we encourage you to apply. Qualifications PhD in
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Applicants should have recently earned a PhD in Economics and should show interest in the topics of the group. The preferred candidate has demonstrated her or his potential to conduct high-quality research
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, including student tutoring and seminars. You will organize at least one full-week excursion for students and PhD students to visit the most interesting objects on site. Profile You are holding a university