34 postdoc-in-thermal-network-of-the-physical-building Postdoctoral positions at Northeastern University
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Physical Biology Lab and/or to pursue individual projects in each lab. The Project Environmental issues are currently among the most pressing facing humankind. As such, understanding how students learn about
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molecular dynamics, docking (e.g., IFD), metadynamics, and free energy perturbation (FEP) techniques. Construct and contribute to the development of software tools for simulation and analysis. Integrate and
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science/engineering, physics, or related fields. This candidate should have a strong background in instrumentation prototyping, particularly with experience on building optical imaging systems. Experience in near
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to develop new methods and techniques. PRAs will be expected to publish in top journals and make presentations at appropriate conferences, supervise research of undergraduate and graduate students assigned
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About the Opportunity The Postdoc will be working on multidisciplinary research projects in the Bendable Electronics and Sustainable Technologies (BEST) Group led by Prof. Ravinder Dahiya. BEST
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Ph.D. in Applied Mathematics or Mathematics or Physics; be able to undertake substantially full-time research or scholarship; work under the supervision of a senior scholar. The postdoctoral fellow
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. Additional background in renewable energy, surface science, catalysis, and/or machine learning. Strong programming skills in Python and some exposure to machine learning. Ph.D. in Materials Science, Physics
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biomedical imaging system to assist in the diagnosis of widespread diseases, including cancer. QUALIFICATIONS: PhD in Electrical Engineering, Applied Physics, Physics, or a relevant field. Demonstrated
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are specifically looking for candidates who possess a strong background in theoretical and computational modeling of biological systems, soft matter, or statistical physics. The positions will commence in January
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. Additional background in renewable energy, surface science, catalysis, and/or machine learning. Strong programming skills in Python and some exposure to machine learning. Ph.D. in Materials Science, Physics