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/Administrative Internal Number: 6572309 Postdoctoral Research Associate About the Opportunity The Network Science Institute (NetSI) at Northeastern University is a world-leading center for research and education
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of pharmacy (PharmD, MS, PhD), occupational therapy (OTD), and medical laboratory sciences (BS, Certificate, MMLS, MS, and BLS). The pharmacy program is offered on the Twin Cities and Duluth campuses
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, mentorship, and stakeholder engagement. About you PhD or BHons in Biomedical Science, Computer Science, Health Informatics, or a related field a developing research profile, with publications in genetics and
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Associates who are passionate about Data Science, with an emphasis in Computational Social Science, with a starting date of September 1, 2026. Some of the possible research topics include: (i) social media
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Engineering. Close collaboration with our neighboring Departments (Biosciences, Food, Agroecology, Chemistry, Mechanical Engineering, Electrical & Computer Engineering, Molecular Biology & Genetics and iNano
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of Engineering are seeking to appoint a Postdoctoral Research Associate in surface engineering and materials science to work within a research group led by Prof. Antonio Tricoli at the University of Sydney
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Job Description Applications are invited for a position as postdoc in Computational Biology in the laboratory of DNRF Chair and Novo Nordisk Faculty Professor Vijay Tiwari (https://www.tiwarilab.org
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(SHORES) and the Division of Engineering, New York University Abu Dhabi, seek to recruit a Postdoctoral Associate to work on a fascinating project focused on the development machine-learning powered digital
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to work in an interdisciplinary, international research environment are expected. Requirements PhD/Master in biology, biophysics, medical physics, computational biology, or a related discipline. Experience
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interest in information processing in humans and computers, and a particular focus on the signals they exchange, and the opportunities these signals offer for modelling and engineering of cognitive systems