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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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of data-driven life science and includes access to a formidable package of resources. Project description: DDLS Fellows Program Data-driven life science (DDLS) uses data, computational methods and
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determined at the time of appointment. The position is time-limited to five years with the possibility for promotion to Senior Lecturer. Background Data-driven life science (DDLS) uses data, computational
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Additional Information Website for additional job details https://academicpositions.com Work Location(s) Number of offers available2Company/InstituteKTH Royal Institute
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fellow in data-driven cell and molecular biology. For more information about us, please visit: DBB and MBW Data-driven life science (DDLS) uses data, computational methods and artificial intelligence
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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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) Doctoral Network Programme funded by the European Commission, that brings together 5 universities, 2 RTOs and 8 industry partners across four countries. Find more information at https://cordis.europa.eu
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infrastructure and research community, bringing together groundbreaking life science technologies with data and AI expertise. Computational methods and artificial intelligence applied to large-scale molecular data
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. The successful candidate is expected to collaborate with PhD students working on related topics within the group. The position involves supporting research through tasks such as: Collecting data from archival
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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