41 computer-"https:" "https:" "https:" "https:" "The University of Manchester" Postdoctoral positions at Northeastern University in United States
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institute and would be encouraged to find ways to thrive and grow their own research program. This position is Boston-based and is available through grant funding that runs until August 31, 2026
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behavior, human-computer interaction, psychology, computer science or related disciplines to work on research projects on human-AI interaction. Increasing ability to generate human-AI interaction data needs
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biochemistry, genetics, microbiology, and cell biological approaches. For more information check the Saavedra lab website: https://www.saavedralab.com The successful candidate for this role will join a
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existing and new computational methods to study multiscale processes in catalysis and photochemistry. Other projects that align with our general interest are also possible. Please see https://sdonglab.org
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of the nematode C. elegans. Our lab integrates genetics, live imaging, quantitative analysis, and computational approaches to uncover the molecular mechanisms regulating aging and longevity. Key Responsibilities
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in the field of network science, with applications to nutrition, biological networks, network medicine, and the science of science. The position involves developing and applying computational
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intelligence (AI). The successful candidate will join Prof. Francesco Restuccia’s research team (website: https://mentis.info) in Boston, Massachusetts, and work on cutting-edge topics in resilient AI, including
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Health based at The Walter and Eliza Hall Institute in Melbourne, Australia. You will be part of a multi-disciplinary team that has an ambitious long term research program to decipher what factors result
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research. Prepare and write research papers, presentations, grant proposals. Train Graduate Students. Qualifications: PhD in Computer Science or related field (completed or near completion) Strong
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of computational materials discovery starting in Summer 2025 . Our group is seeking to discover novel materials for renewable energy applications using high-throughput quantum chemistry calculations and data-driven