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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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graduate student Qualifications · Ph.D. in immunology, microbiology, cell biology or related areas · Experience with in vivo animal models or multi-color flow cytometry are preferred · At least one first
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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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arise) Participating in project team meetings, seminars, and actively contributing to research progress Qualifications Doctoral degree in epidemiology, social and behavioral sciences, public health
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written communication skills. -Attention to detail and training in research methodology and quantitative data analysis. -Recent or upcoming Ph.D., or equivalent degree, in Cell Biology, Molecular Biology
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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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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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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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or assist with course material development under the guidance of the PI. ● Contribute to student recruitment by participating in graduate admissions review and outreach activities. ● Reimplement
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harnessing the fundamental sciences to break AI out of its black box using techniques from mathematics and theoretical physics. The postdoctoral researcher will be under the supervision of Prof. James