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lives? If so, please continue reading! Join Us! The Computational Science Lab is looking for an ambitious PhD candidate to bridge the gap between computational modeling and experimental biomedicine. You
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Preferred Qualifications PhD degree in biostatistics, public health, epidemiology, informatics, computer science, or related field, and/or equivalent and experience in education, with at least 1 year of
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based on a large dataset collected over the past decade by the host research group and partners, and initiate dedicated sampling campaigns to address gaps in current knowledge. The PhD candidate tasks
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of using Python or R Very good written and spoken English (min. B2) In addition, the following criteria are desirable: basic knowledge of analytical chemistry, neurobiology, or behavioural ecology Experience
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of Research Grants of NOVA.id.FCT – Association for Innovation and Development of FCT; Regulation of Research Grants of the Foundation for Science and Technology, I.P. (https://www.fct.pt/apoios/bolsas
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. The person appointed will have an undergraduate degree in Computing, Computer Science, Mathematics or a relevant area. A PhD in a relevant field is essential. You will have experience teaching a broad range of
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in life science. The creative and research-intense environment contributes to a broad knowledge-base as well as cutting-edge expertise. In addition, Uppsala University has a highly developed innovation
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knowledge for a better world. You will find more information about working at NTNU and the application process here. About the position We have a vacancy for a PhD Candidate in Concrete Materials Science at
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, Computer Science, Life Sciences and Medicine. Through its dual mission of teaching and research, the FSTM seeks to generate and disseminate knowledge and train new generations of responsible citizens in
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major hurdles in the use of genomic data in public health – access to big data sets, the technology to analyse these data, and the knowledge to interpret the results. In this role, you will develop