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Field
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methods Experience analysing RNAseq and/or high throughput imaging data Experience handling human post-mortem tissue Experience writing/using computer code Experience supervising postgraduate students and
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Institute of Data Science. General Requirements Candidates should have (i) a PhD degree in Data Science, Artificial Intelligence, Computer Science, Computer Engineering, or a relevant discipline; (ii) a good
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Staff Union Non-Union Non-Classified Staff Pay Grade Level N/A Pay Grade Range N/A Status Calendar Year, Full-time, Limited Department Information Department Elec, Computer & Bio Engr Contact(s) Please
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may come from a diversity of disciplinary backgrounds, including but not limited to veterinary medicine, epidemiology, ecology, biology, computer/data science, economics and other social/behavioral
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but not limited to veterinary medicine, epidemiology, ecology, biology, computer/data science, economics and other social/behavioral sciences, nutritional sciences, etc. During their fellowship, Fellows
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have a PhD in Physics or Astronomy with a strong research background in: Observational astrophysics with neutrino and/or gamma-ray telescopes Statistical methods and data analysis. Computer programming
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in the health sciences, including fields such as healthcare informatics, movement and rehabilitation sciences, medical imaging, remote sensing, computer vision, mental health, data fusion
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infrastructure as well as a computer if required. Since the Collegium cannot provide laboratory infrastructure or studio space on site, early-career fellows in exceptional cases can arrange to use up to 40 percent
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that change! Qualifications The position requires a PhD degree in electrical, computer or biomedical engineering, computer science, or a closely related area. The successful candidate is expected to develop
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Perception Group @ Microsoft Research Cambridge Chris Bishop | Tom Minka Statistical Laboratory Phil Dawid | Richard Samworth | David Spiegelhalter Computer Lab Sean Holden | Carl Henrik Ek | Ferenc