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. The data-driven life science initiative 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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Master’s degree in bioinformatics or a related field. Strong knowledge in biology, genetics, and statistics. Experience with data processing tools such as R, Perl, and/or Python. Strong written and oral
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microscopy). There exist opportunities for being involved in the HCF fabrication process. The project is part of a consortium project supported by Vinnova (Swedish Agency for Innovation Systems) with partners
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. Documents should be sent electronically, in MS Word or PDF format, through the recruitment system Varbi. The procedure for recruitment for the position is in accordance with the Higher Education Ordinance
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. Application procedure The application should be written in English and be attached as PDF-files, as below. Maximum size for each file is 40 MB. Please note that the system does not support Zip files. CV:(Please
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the GENIE Initiative on gender equality for excellence . Equality and diversity are substantial foundations in all activities at Chalmers. Application procedure The application should be written in English
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among qualified applicants based on their qualifications and their ability to benefit from studies at the doctoral level. After the selection of the suitable candidate, the process for the admission
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computational tools developed by our research team for addressing a timely societally relevant problem. Project overview The aim is to unravel the anthropogenic and natural processes, and their relative
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of completed academic courses and grades • Copies of published own research (if any) The application must be complete in order for it to be considered in the recruitment process. The application must be made via
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, Python and IDA ICE. In an overall assessment of suitability, emphasis is also placed on personal abilities. All employees at MDU are expected to cooperate and treat colleagues and students with respect