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University of Massachusetts Medical School | Worcester, Massachusetts | United States | 3 months ago
expose the successful candidate to cutting-edge genome editor engineering approaches and the delivery of these reagents in vivo via AAV or lipid nanoparticles. The successful candidate will also learn
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interdisciplinary and experiential learning to join the Source Project , Binghamton University's distinctive first-year research program in the Humanities and Social Sciences. The position begins August, 2026. PhD in
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resource economics) or related disciplines strong analytical (i.e. microeconomics, production or resource economics) and methodological skills with a focus on quantitative data analysis (e.g. econometrics
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professional training to align with the emerging needs of our society and students’ diverse learning interests. Please visit the website at http://www.polyu.edu.hk/apss/ for more information about the
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the rank of Research Assistant Professor in computational mathematics, machine learning, scientific computing, statistics, and related areas. The appointee is expected to conduct high-impact research
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(ICS). A scientific environment of excellence, highly dynamic, where high-end biomedical projects are continuously developed. Continuous learning and a wide range of responsibilities within a stimulating
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to undergraduate learning through research experiential courses (ENTM 39300 Insect Biology Practicum and ENTM 49300 Insect Biology Capstone), and training and mentorship of graduate students, postdoctoral and
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learning) to empirical data. Statistical analysis. Writing research articles for publication in peer-reviewed journals. Presenting findings at conferences and research seminars. WE REQUEST Professional
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for transport You hold, or will shortly acquire, a Master’s degree in a related discipline. Ability and passion for operating at the intersection of different fields, particularly transport engineering and
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experimentally verified results is a necessary: Research Topics: Learning-Based Autonomous Systems for Field Robotics Reinforcement learning-based navigation Multi-agent coordination and communication-aware