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intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human health and global ecosystems. The SciLifeLab and Wallenberg National Program for
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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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. The position is part of the research group Quality.2 (Phytonutrient Management) in the programme area ‘Plant Quality and Food Security’ (QUALITY). The aim of the research project ‘GluAmin’ is therefore
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, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human health and global ecosystems. The SciLifeLab
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to psychology@ul.ie with the subject ‘PhD Studentship Application’. The expression of interest document should be submitted in Word (.doc or .docx) format and should be no more than two pages. The applicant
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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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Applications are invited for a position in the rapidly expanding data analytics run by Prof Adam Dubis. The main focus of the team is to develop deep learning tools for prediction of disease progression
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the position. The position will be supervised by Prof. Casper Boks from the Department of Design and Assistant Professor Erica Löfström from the Department of Psychology. The Head of Department will be your
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at NTNU and entering their final year during 2025. Such applicants will be considered for the Integrated PhD program. The position's working place is NTNU campus in Trondheim or Gjøvik. Your immediate
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LGBTQ+ Rights The rapid advancement of digitalisation and artificial intelligence (AI) technologies in society is reshaping the relationship between law, the human body, identity, and digital ecosystems