83 postdoc-position-in-image-coding positions at Chalmers University of Technology in Sweden
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-14164 Is the Job related to staff position within a Research Infrastructure? No Offer Description Multimetallic nanoparticles are promising catalysts for sustainable technologies, but their vast diversity
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at the same time so special. The originality of the experiments is in the combination of X-ray based scattering and imaging methods to monitor the changes at the particle scale during testing. Research
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postdocs at Chalmers, and collaborate with academic and industrial partners in Sweden and internationally. The role also offers opportunities for travel and engagement with external collaborators. Research
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theoretical research, algorithm design, and the development of software tools that demonstrate the applicability of the new methods. Research environment The positions are hosted by the Department
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Geomaterials) Contract terms The position is a four-year appointment, with the possibility of extension up to five years through teaching (maximum 20%). What we offer Fully funded PhD position from the start
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We are offering a WASP, The Wallenberg AI, Autonomous Systems and Software Program, funded PhD position that provides a unique opportunity to develop deep expertise in robotics, machine learning
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. We seek to holistically address the multiple pressures that ships pose on the marine environment and bridge the gap towards environmental management and spatial planning. Read more here https
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and responsible development of the maritime industry. We address the multiple pressures that ships pose on the ocean and try to bridge the gap towards environmental management and marine spatial
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Doctoral student in Materials Chemistry of Doped Organic Semiconductors in EU Training Network FADOS
programme Reference Number 304--1-14188 Is the Job related to staff position within a Research Infrastructure? No Offer Description Chalmers University of Technology is recruiting a doctoral student to join
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This position offers a unique opportunity to work at the intersection of statistical machine learning, control theory, and transport safety, in collaboration with researchers at Chalmers and the