27 structures "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Imperial College London" uni jobs at SciLifeLab in Sweden
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life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human health
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of Linköping University’s departments. Your profile determines which department will be relevant. Information about our relevant strong research environments can be found at https://liu.se/en/research/wcmm/ddls
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information about us, please visit: www.dbb.su.se . Main responsibilities We are looking for someone eager to bring their skills to strengthen the structural and cell biology communities as well as to provide
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for a highly engaged, structured, flexible, and curious team player who enjoys combining operational responsibility with experimental work. Your profile We are looking for a competent, organized, and
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. You are structured, like to collaborate and communicate well with others in a responsive and flexible way. The following education, experience and expertise are required: PhD in a relevant subject e.g
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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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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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questions and enthusiasm for learning new bioinformatics tools and methods. You enjoy working as part of a team, with a structured and quality-focused mindset. Strong communication skills, both spoken and
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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