82 postdoctoral-image-processing-in-computer-science-"Prof" positions at Chalmers University of Technology
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the recruiting process in connection with this position. * Chalmers University of Technology in Gothenburg conducts research and education in technology and natural sciences at a high international level. The
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Exciting Opportunity in Sustainable Energy Research: Join Us in Advancing Hydrogen Storage Technology! Hydrogen is a critical energy carrier for future sustainable systems. One issue using hydrogen
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computational costs by orders of magnitude and enabling breakthroughs in drug design and materials science. The position bridges machine learning and molecular science, with opportunities for collaboration
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of Computer Science and Engineering (CSE)Chalmers University of Technology University of Gothenburg You will be part of the Computing Science Division The appointed candidates will also join a vibrant community of over
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Join a team with an extensive national and international network in metal additive manufacturing! This PhD position at Chalmers University of Technology is a unique opportunity to develop your
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We are looking for a candidate with a strong interest in laboratory-based research to join our team in a project-based position focused on combustion and ash chemistry. The role You will work
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in the management of technology, people, and organization, and a desire to make groundbreaking contributions to the field of maintenance engineering. PhD Project overview The project focuses
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to consider all offers of further announcement publishing or other types of support for the recruiting process in connection with this position. *** Chalmers University of Technology in Gothenburg conducts
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international research networks. The Division of Materials and Manufacture , part of the Department of Industrial and Materials Science, focuses on the full value chain—from materials design processing and
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, computational materials science, computer science, or a related field, awarded no more than three years prior to the application deadline*. Background in physics-based battery modelling and/or machine learning is