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department’s activities here: https://www.uu.se/en/department/immunology-genetics-and-pathology Read more about our benefits and what it is like to work at Uppsala University The Data-driven Life Science (DDLS
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application! More information Our mission is to build an inclusive and equitable environment. We want people to feel they belong at AstraZeneca and Alexion, starting with our recruitment process. We welcome and
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department’s activities here: https://www.uu.se/en/department/immunology-genetics-and-pathology Read more about our benefits and what it is like to work at Uppsala University The Data-driven life science (DDLS
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, please see https://www.scilifelab.se/data-driven/ddls-research-school/ The future of life science is data-driven. Will you be part of that change? Then join us in this unique program! The doctoral student
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. Rocío Mercado Oropeza, applies machine learning to molecular engineering problems in life sciences and drug discovery, and is based in the Division for Data Science and AI within the CSE Department
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, and virology. The research is essentially of fundamental nature, but with relevance and application in health and disease in both animals and humans. More info: Research – Uppsala University Data-driven
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/ The position may be subject to security vetting. If security vetting is conducted, the applicant must pass the vetting process to be eligible for employment. Please do not send offers of recruitment
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relies on close collaboration with researchers at the Department of Immunology, Genetics and Pathology (IGP) at Uppsala University. The PhD position is within the Data-driven life science (DDLS) Research
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. The PhD position is within the Data-driven life science (DDLS) Research School. DDLS uses data, computational methods and artificial intelligence to study biological systems and processes at all levels
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, the extensive image information requires great accuracy and is therefore time-consuming. Today, detailed image information is collected from MRI and CT systems on a large scale in various cohort studies, often