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modelling, data-driven approaches, and experimental validation. The project combines computational materials science with practical membrane design for electrochemical energy applications. PhD Position 1
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to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT. The researcher will be part of the team of the MCCS NATURE Project (https
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methods for single-cell data analysis (tools developed by the team : https://github.com/cantinilab ). Single-cell high-throughput sequencing, extracting huge amounts molecular data from a cell, is creating
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outcomes, while ensuring access to reliable and affordable energy. The EE Lab applies rigorous evaluation and modeling methods, including natural and field experiments, randomized controlled trials
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these data and we will also analyze primary samples from patients with B cell malignancies. We will identify functions of lncRNAs using CRISPR interference, RNA pulldown experiments, mouse models, and
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– University of Idaho Position Qualifications Required Experience Proven experience in network protocols, power systems modeling, or AI applications in energy systems. Demonstrable experience with real-time
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Particle Physics High-Energy Theory / Elementary Particle Theory , HEP-Theory (hep-th) , Physics Beyond Standard Model , Scattering Amplitudes , Theoretical High-Energy , Theoretical Particle Physics
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(https://www.ise.fraunhofer.de/en/research-projects/pvev.html ), we are working to optimize models for PV self-consumption estimation and, on that basis, to develop an algorithm for PV feed-in upscaling
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Department Energy and Environment Lab About the Department The Institute for Climate and Sustainable Growth's Energy and Environment Lab (EE Lab) partners with agencies at the federal, state and
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for defense, aerospace, and critical infrastructure. Energy generation and storage systems modeling, optimization, and control, with emphasis on reliability, affordability, and national security. Experimental