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degree in bioinformatics, data science, computer science, scientific computing, or associated field Documented experience with AI methods for analysis of tabular dataset and image-based data including deep
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-precision . The DDLS Fellow-programme Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular
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both technical expertise and an understanding of clinical relevance. Required: Master’s degree, engineering degree, or equivalent in bioinformatics, computer science, or related field. Experience in
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computer science or an equivalent education, such as a Master of Science in Engineering. A minimum of 10 years of documented experience working in IT as a developer, systems specialist, architect, or similar role
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General description of the DDLS Fellows programme Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels
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collaborative environment where you can both use and develop your technical skills? Then this position may be the perfect fit for you. Requirements University degree in bioinformatics, computer science, IT, or a
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can include angles from human genetics, gene regulation, cell biology and computational systems biology. The research group works at the international forefront of human functional genomics, aiming
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information about us, please visit: the Department of Biochemistry and Biophysics . About the DDLS PhD student program Data-driven life science (DDLS) uses data, computational methods and artificial
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”. Qualification requirements Required Academic degree in Bioinformatics, Computer Science, Biotechnology or similar. Programming experience, preferably using Python or Javascript. Basic knowledge of version control
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and accepted to the PhD program at Stockholm University. Project description Project title: “Deep learning modeling of spatial biology data for expression profile-based drug repurposing”. A new exciting