84 web-programmer-developer-university-of-liverpool positions at SciLifeLab in Sweden
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Uppsala University, Department of Information Technology Are you interested in developing new image analysis and machine learning methods for improved cancer understanding, diagnostics, and
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and cellular processes to human health and global ecosystems. The SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS) aims to recruit and train the next generation of data
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who will make major contributions to life-science research in Sweden. The advertised PhD position, based at Lund University, is generously supported through the DDLS PhD program. Description
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mechanism, and benefits from proximity to one of Sweden’s major university hospitals. Within the DDLS program, you can develop your full potential as a leading independent scientist in a flourishing academic
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Science (DDLS) aims to recruit and train the next generation of data-driven life scientists and to create globally leading computational and data science capabilities in Sweden. The program is funded with
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computational drug metabolism project in collaboration with AstraZeneca and Chalmers University of Technology, funded through the Wallenberg National Program for Data-Driven Life Science (DDLS). Chalmers
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students in their research projects and participating in first-cycle courses and study programmes at the department. The successful candidate will also be required to follow developments within the relevant
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. We are looking for one PhD student at the Department of Physics at the University of Gothenburg as a part of the national DDLS program. The applicants will work in the development of AI tools
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Uppsala University, Department of Information Technology Are you interested in developing new image analysis and machine learning methods for precision medicine and clinical decision support? Would
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and Wallenberg National Program for Data-Driven Life Science (DDLS) aims to recruit and train the next generation of data-driven life scientists and to create globally leading computational and data