70 systems-science "https:" "https:" "https:" "https:" research jobs at Northeastern University in United States
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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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About the Opportunity Job Summary The Apfeld Lab at Northeastern University is seeking a postdoctoral researcher to investigate how genes work together to determine the maximum lifespan
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until filled. The initial appointment is for one year, with the potential for extension depending on regular progress evaluation and continuation of funding. QUALIFICATIONS A Ph.D. in chemistry, physics
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About the Opportunity SUMMARY The lab of Professor Albert-László Barabási is looking for Postdoctoral Research Associates in the area of network science, nutrition, biological networks, machine
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collaboration with graduate students and external partners. MINIMUM QUALIFICATIONS Knowledge of complex systems, network science, bioinformatics, and computational modeling, with the ability to design and
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. Mechanobiology in aging in the musculoskeletal system or the cardiovascular system: this area focuses on the application of mechanobiology technology and discovery to the aging research. 2. Immunomechanobiology
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should have research experience in mathematical biology, preferably using theoretical and numerical approaches to understand mechanisms in biological systems. The successful candidate will work under the
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multimodal interaction. Our research aims to bridge the gap between visual perception and actionable assistance, with applications including: · Video-based skill coaching and instruction
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and collaborate effectively. Experience in healthcare and medical device environments is highly valued. ● PhD in computer science, electrical engineering, biomedical engineering, cybersecurity
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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