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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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features that support decision analysis and risk management in energy finance. These features include probabilistic models, which estimate the full conditional distribution of energy derivative prices and
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The UCL Energy Institute hosts a world-leading research group focused on the decarbonisation of the shipping sector. The shipping research group undertakes research to support the above using models
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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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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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for defense, aerospace, and critical infrastructure. Energy generation and storage systems modeling, optimization, and control, with emphasis on reliability, affordability, and national security. Experimental
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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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Physics / General relativity , Gravitation Theory , Gravitational waves , particle physics around axions , Physics Beyond the Standard Model , Quantum Field Theory , Theoretical High Energy Physics
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modelling of complex and multiphase flows; and the analysis and optimisation of integrated energy-conversion systems, including renewable, hydrogen-based, and waste-heat-recovery applications