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will combine state-of-the-art computer vision, modeling and archived specimens to determine biotic and abiotic factors driving spatial variation in molt phenology. It will use museum genomics to recover
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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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be expanded with the recruitment of 19 academic and 7 industrial PhD students. During the course of the DDLS program more than 260 PhD students and 200 postdocs will be part of the Research School
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). These teams are founding partners of the µNEURO Research Centre of Excellence and bring extensive experience from their pioneering work in these fields (more info ). For this specific position, the imec-Vision
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refresh page to watch video, or click here to open video) About the position The NTNU University Museum is seeking a highly qualified, ambitious, and motivated PhD candidate for a project focusing on
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that change? Then join us in this unique program! At Karolinska Institutet, we are announcing the position as DDLS PhD student in Data driven epidemiology and biology of infection. Data driven epidemiology and