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is part of the Maersk Mc-Kinney Moller Institute , University of Southern Denmark (SDU), and located at the main Campus in Odense, at the core of the Odense Robotics Cluster involving 120+ startups
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the team. The successful candidate will have access to the Apache Point Observatory 3.5m telescope and OU’s supercomputer, Schooner. The team also has a 256 core cluster for work within the group. There is
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inform public health, in particular, in low-income settings. Qualifications: PhD of equivalent in a relevant field including, but not limited to: evolutionary biology, epidemiology, biology, computational
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driven individual with a PhD in data science, computer science, biomedical informatics, or a similar background with some experience working with large datasets. Prior experience with healthcare is not
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access to world-class computing resources, such as the BNL Institutional Cluster and DOE leadership computing facilities. Access to these platforms will allow computing at scale, and together with access
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these applications to inform new foundational ML and NLP innovations. The position provides unique access to world-class computing resources, such as the BNL Institutional Cluster and DOE leadership computing
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Cluster and DOE leadership computing facilities. Access to these platforms will allow computing at scale, and together with access to unique data sources, will ensure that the successful candidate has
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and uses these applications to inform new foundational ML and NLP innovations. The position provides unique access to world-class computing resources, such as the BNL Institutional Cluster and DOE
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-years to better understand innovation clusters and how to accelerate the quantity and quality of innovation output and their economic and social impact. This team will conduct research as part of
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to build a collaborative scientific carrier in computer science and medical data analysis at a German top-ranked university. Help to acquire, mentor and teach students (e.g., PhD, MSc, BSc, seminar series