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-film solar cells.” You will become part of an enthusiastic team working closely with collaborators at DTU Physics and DTU Nanolab to advance neural network-based methods for materials discovery. Project
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., Python, Bash) Experience with Git, CI/CD workflows, and collaborative development practices Strong communication skills and ability to work both independently and collaboratively Interest in educational
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adjustment and plate tectonics. The analysis will encompass both network wide and local analysis using data from Greenland GNSS Network (GNET). You will target specific regions where there can be an unresolved
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material characterization, material flow analysis and material recycling. This PhD opportunity is part of the Marie Skłodowska-Curie Doctoral Network SCARPA , a European training network committed
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networks. Responsibilities and qualifications The primary goal of this position is to push the boundaries of computer vision and robotics. The overarching mission of our newly established research lab is to
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well as research-based insights and tools for policymakers and industry professionals. We have close collaboration with other research communities nationally and internationally, and with Danish Authorities
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). Excellent communication abilities, social skills, and independent attitude paired with the ability to network and interact with relevant stakeholders. We envision that: You have an open mind and can think
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travel in cities as well as improved well-being of travellers. You will work within the European research project NextLogic - Next-Gen urban freight logistics for net zero emissions through innovative
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our industrial network within the field of composite sustainability and circularity. You will be successful in attracting external funding to support research, and its implementation in technical
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Job Description The microbial community of the world's oceans represents a large and underutilized resource for versatile and robust enzymes with potential technological applications. Despite high