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SU-3-1 Hydrogen Conversion of a Gas Turbine – Optimisation Operating Parameters for Co-Firing Green Industrial Futures Centre for Doctoral Training (GIF CDT) PhD Research Project Directly Funded UK
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optimizing complex systems across a wide range of domains, from industrial manufacturing and energy to environmental monitoring and healthcare. Interacting with a Digital Twin (DT) of a structure—such as a
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performance under realistic conditions Funding category: Autre financement public PHD title: Doctorat en Genie PHD Country: Canada Where to apply Website https://www.abg.asso.fr/fr/candidatOffres/show/id_offre
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, certificates, masters, and PhD). This position works with the Director of Admissions to set the school wide recruitment marketing strategy and goals for each year in coordination with communications and the
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capture integration, environment design, and modular asset creation. You will support students in mastering the principles of technical efficiency and the practicalities of assembling and optimizing visual
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assays by biophysical methods (SPR, MST, ITC, BLI) or Fluorescence-based (i.e. FP, TR-FRET) methods, and optimizing workflows for ligand discovery. Depending on your skills, you might also work
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Energy and Environmental Economics, focusing on macroeconomic analysis of energy transition policies
in Norway. About the project This PhD position is part of the newly funded VISTA Centre for Norwegian Transformative Energy Policy Development (NOTRAP) (https://www.ntnu.edu/notrap ), which will
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17 Mar 2026 Job Information Organisation/Company Université de Haute-Alsace Department IRIMAS Research Field Computer science Researcher Profile First Stage Researcher (R1) Positions PhD Positions
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Your Job: Take on specific tasks at JAIF such as trustworthy AI, training AI models, developing customized AI methods and workflows, or HPC optimization Implement and evaluate cutting-edge AI
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methodologies tailored to the lab’s hardware/software testbed. Integrate SDRs (e.g., USRPs, RFSoC) and RF front-ends (FR2, FR3, V-band) into end-to-end ISAC demonstrators. Implement and optimize advanced signal