52 phd-studenship-in-computer-vision-and-machine-learning positions at Chalmers University of Technology in Sweden
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: For this position it is required to have a PhD in Catalysis. To qualify for the position of postdoc, you must hold a doctoral degree awarded no more than three years prior to the application deadline. * It is a merit
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the sustainability performance of the built environment. Job description We are looking for three student assistants to support the PhD project Measuring to Manage: A Methodological Framework for Quantifying Plastic
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through publications in high-impact journals and presentations at international conferences. Qualifications A PhD in Physics, Chemistry, Mechanical Engineering, Energy Sciences, or a related field, obtained
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the vision: “accelerate sustainable transition through science-based life cycle action.” Our goal is to advance the field of life cycle thinking. In this important role, you will work closely with colleagues
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passionate about sustainable development and that wants to join a highly motivated team driving towards the vision to Accelerate sustainable transition through science-based life cycle action and our aim is to
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. Exceptions from the 3-year limit can be made for longer periods resulting from parental leave, sick leave or military service. The following experience will strengthen your application: - Background in strong
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of a unique and collaborative research environment in micro- and nanotechnology, housing over 250 researchers and PhD students. The main research activities at the terahertz and millimetre wave
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own research in a research group. The position may also include teaching on undergraduate and master's levels as well as supervising master's and/or PhD students to a certain extent. Another important
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alongside PhD students in a research lab? We’re offering you the chance to do exactly that — and get paid for it, too. Information about the division The Photonics Laboratory at the Department
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). Qualifications The candidate must have a PhD in mathematics. In addition, knowledge of classical L2-methods in complex analysis and pluripotential theory is required. Familiarity with multivariable residue theory