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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
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medical device environments is highly valued. PhD in computer science, electrical engineering, biomedical engineering, cybersecurity, or a closely related field Strong record of peer-reviewed publications
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://tanglab.sites.northeastern.edu/ Qualifications: Having a PhD degree from all science and engineering majors, especially Mechanical Engineering, Chemical Engineering, Physics, and Materials Science. Highly motivated. Having
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are separate from the natural world – upon an increasingly dominant paradigm in environmental science – social ecological systems, which acknowledges that human social systems are part of natural ecosystems
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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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the possibility of renewal based on performance. Key Responsibilities Lead research and development of a prototype community readiness assessment tool to describe the socio-cultural and economic attributes
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and contribute to research proposals, contracts, and technology transfer documents, supporting funding and commercialization opportunities Actively contribute to building strategic partnerships with
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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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real and virtual agents will be a plus. The successful candidate must have a Ph.D. or equivalent degree in related engineering and science disciplines. The candidate must have progressively responsible
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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