82 web-programmer-developer-university-of-liverpool positions at Chalmers University of Technology in Sweden
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universities, Guest lectures and networking opportunities with academia and industry, A strong, cross-disciplinary PhD student network. WASP is Sweden’s largest individual research program ever, a major national
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the Division for Computer network and systems and the employment is placed with Chalmers University of Technology. Our research spans from theoretical computer science to applied systems development. We provide
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Vision Group at the division of Signal processing and Biomedical Engineering develops intelligent systems for automatic image interpretation and perceptual scene understanding. Our research spans both
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techniques. Our work is interdisciplinary by nature and is addressing topics that have a direct impact on sustainability. The division is collaborating closely with other universities and research institutes
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research efforts are needed for rapid progress. About us Chalmers University of Technology is a leading university with excellence in industrial digitalization and manufacturing. The Division of Production
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Are you interested in developing computational tools to understand the detailed mechanical behaviour of multi-phase materials? Then this PhD position at Chalmers University of Technology might be
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at the Division of Applied Quantum Physics , Department of Microtechnology and Nanoscience at Chalmers University of Technology. Why join us? The opportunity to conduct world-class research in a leading-edge
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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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laboratory work and data analysis? Then this position may be right for you. While the focus will be on your research and personal development as a researcher, the position also provides opportunities
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research position. The project assistant will apply their biomedical and AI knowledge to conduct a feasibility study developing AI tools to predict properties of lipid formulations for drug delivery