2,374 assistant-professor-computer-science-"https:"-"https:"-"https:" Fellowship positions
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through cutting-edge research. The Nath lab is seeking applicants for a postdoctoral position in computational cancer biology. Our lab aims to enhance cancer treatment outcomes through two main research
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Research Fellow, your main responsibility will be to drive the laboratory‑based chemistry program, delivering high‑quality experimental work, contributing to compound design decisions, and ensuring project
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our St Lucia Campus About This Opportunity Join a world‑class research community and help shape the future of quantum computing at UQ. This is an exciting opportunity for a Postdoctoral Research Fellow
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) in computational materials chemistry/physics, or related relevant area. The candidate must have demonstrable experience working with high-performance computing infrastructure. The candidate must have a
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. Mahi Ngātahi | Who You Will Work With You will work alongside Professor Volker Nock, Department of Electrical & Computer Engineering and Dr Michael Edmonds, Biomolecular Interaction Centre
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Details Title HMS - Postdoctoral Fellow in Biomedical Informatics (DBMI) School Harvard Medical School Department/Area Biomedical Informatics-Quad Position Description The Department of Biomedical
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Social Sciences Apply for this job See advertisement Job description Applicants are invited for a four-year full-time position as PhD Research Fellow at the Centre for Research on Equality in Education
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machine learning methods for computational materials physics and chemistry. Projects include: The aim is to develop generalized equivariant neural network models NequIP and Allegro for machine learned
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School of Civil Engineering – Faculty of EAIT Full-time (100%), fixed-term position for up to 3 years Base salary will be in the range $117,120.53 - $138,769.70 + 17% Superannuation (Academic Level
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. This role is ideally suited to a researcher with experience in computational structural biology, glycobiology, or protein modelling, who is interested in applying AI-enabled structural prediction and glycan