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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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individual laboratories. Computational methods and artificial intelligence based on large-scale molecular data are transforming the study of biological systems at all levels – from molecular structures and
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Transformation and as a Transformative Power (ProTest), funded by Horizon Europe – the European Union’s key funding programme for research and innovation. The project aims to analyse the context, current state
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, coherent idea of what you would like to study in our research environment. Computational skills (e.g. data analysis in R and additional experience with a command-line user interface) are also merits
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independence, and how the applicant, through their experience and skills, is deemed to have the abilities necessary for successfully completing the third cycle programme. Terms of employment Only those admitted
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School of Electrical Engineering and Computer Science at KTH Third-cycle subject: Electrical Engineering We are seeking an enthusiastic student to join the dynamic and welcoming team of the Winkler
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Do you want to contribute to top quality medical research? Computational methods and AI applied to large-scale molecular data are transforming biology – from molecular structures and cellular
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Do you want to contribute to top quality medical research? Computational methods and AI applied to large-scale molecular data are transforming biology – from molecular structures and cellular
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as Postdoctoral researcher. Experience with advanced DNA sequencing analysis, including: - Proficiency in computational skills including programming (e.g., bash, Python, R) and command-line interface
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Do you want to contribute to improving human health? Computational methods and artificial intelligence on large-scale molecular data are transforming the study of biological systems at all levels