1,197 computer-programmer-"https:"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" uni jobs at Nature Careers
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. The employment is an MSCA doctoral student employment within a Marie Sklodowska Curie program with MSCA funding. In order to be approved for MSCA financing the applicant, at the time for the application, should
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The Developmental, Stem Cell & Cancer Biology (DSCB) Program at The Hospital for Sick Children (SickKids) invites applications for a Scientist position at the SickKids Research Institute , with
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cutting-edge research in areas such as pattern recognition, automation science, complex systems, AI for Science, robotics, machine learning, computer vision, natural language processing, biometrics, medical
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sensory neurons. In addition, to enable novel discoveries and address critical challenges, this role requires strong project leadership and a collaborative mindset. Links to the PI and co-PIs website: https
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expected to: 1) establish and maintain a vigorous externally funded research program, 2) excel in teaching at the undergraduate and graduate level, 3) supervise undergraduate, graduate, and postdoctoral
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days annual leave including bank holidays (FTE) Defined contribution pension scheme Free life assurance scheme Employee Assistance Programme Interest free season ticket loans Additional maternity pay
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Comprehensive Cancer Center. The successful applicant will be expected to develop an independent, externally funded research program in cancer immunology, cancer causing viruses, oncolytic viral therapies, cancer
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maintain an active, externally funded research program; to supervise graduate students in our Ph.D. program; and to teach undergraduate and graduate courses in their specific area of expertise as
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of our product development teams building applications within the St. Jude Cloud ecosystem, including the large-scale data sharing application, Genomics Platform (https://platform.stjude.cloud
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implementing computational schemes for ODE and / or PDE based models Ideally experience with machine learning methods for identifying governing equations from experimental observations (e.g., https://github.com