36 phd-energy-or-power-or-grid-or-optimization Postdoctoral positions at Northeastern University
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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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responsibilities include maintaining laboratory operations and mentoring undergraduate and graduate students. Minimum Qualifications -Demonstrated ability to design and conduct independent research. -Strong verbal
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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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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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of optical microresonators and silicon photonics components, such as waveguides, gratings, power splitters, multiplexers, and demultiplexers. The research project will focus on developing an innovative
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to environmental stimuli. This involves protein movement and dynamic protein-protein interaction to maintain optimal photosynthesis, stress responses, and other metabolic processe Key Responsibilities 1) Perform
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optimization of optical imaging hardware, develop data acquisition software and algorithms for data processing, as well as perform phantom and human clinical studies. This candidate is expected to co-supervise
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previous experience; ability to write papers for peer-review on technical topics related to architectural design and machine learning and conduct grant research; as normally acquired through a PhD in
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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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to assist in the precise diagnosis of major diseases, including cancer and cardiovascular disease. QUALIFICATIONS: PhD in Electrical Engineering, Applied Physics, Biomedical Engineering, or a relevant field