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, and review of regulations. Research Project: The selected fellow will be guided by a team of ASPE scientists with expertise in data science, public health, informatics, and policy. This team
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Number: 6791163 Takeda-Global Medical Affairs Postdoctoral Research Fellow About the Opportunity About the Opportunity Northeastern University Pharmaceutical Industry Fellowships Program is a two-year
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%) allocated to teaching on the School’s programmes and developing the Alfred Landecker Programme. The post is generously supported by funds from the Alfred Landecker Foundation, to support a programme of
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both laboratory and computational approaches for fish/shellfish-pathogen interaction dynamics and genomics research at the Aquatic Animal Health Research Unit (AAHRU). Research objectives of the AAHRU
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The Society offers postdoctoral fellowship grants to unusually promising recipients of M.D., Ph.D. or equivalent degrees when it appears that the program of training to be supported by the grant
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Director of LISH (Dr. Ramona Pop). The position involves conducting rigorous empirical research using field experiments, large-scale data analysis, and computational methods to advance our understanding
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | 8 days ago
Status Full-time Hours Per Week 35 Offer Starting Date 18 Dec 2025 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number Fellow_BI/FCT_Proj2022/i3S
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Maritime Archaeology is a stated definite term position. About 50% of the position will be focused on program coordination and development. The Fellow will be responsible for a broad range of activities in
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Job Title: Research Associate / Research Fellow in FPGA Systems Design (SPEAR Centre) Department/School: School of Computing, Engineering & Intelligent Systems Campus: Derry~Londonderry campus
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of the Department. The research activities of the department fall under eight broad headings, though there is much overlap in practice: Information Engineering (Robotics, Computer Vision and Machine Learning