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together with other energy assets, such as electrical boilers, within a Model Predictive Control (MPC) framework that optimally balances electricity and heat production. Within FLEX-SMR, this PhD focuses
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predict the behavior. You will be embedded in our team, which holds dedicated in-house expertise in 3D printing, pH-feedback systems and modeling, and you will have assistance on the various aspects
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to predict marine extremes for engineering and navigation purposes The PhD candidate is expected to develop an integrated framework that combines machine and deep learning methods with statistical and
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between pollution control efficiency, electrochemical yield, and energy recovery potential; • Develop coupled electrochemical and hydrodynamic models to predict process behavior; • Participate in
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Researcher (R1) Positions PhD Positions Application Deadline 31 Aug 2026 - 13:00 (Europe/Rome) Country Italy Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework
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research in data-driven nutrition, health, and food science. With large-scale diet and health data, omics data, biomarkers, digital food and health services, we establish predictive models for evaluation
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | 2 months ago
Offer Description INEGI is opening a call for applications for the recruitment of a PhD Researcher in the field of Scientific Artificial Intelligence, Optimisation and Computational Modelling Applied
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- Physical modelling (pde, phase field, linear stability analysis) - Immunochemistry Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UMR7057-CARPHI-037/Default.aspx Requirements Research
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connections all over the world, we work together to develop solutions for the global challenges of today and tomorrow. Where to apply Website https://academicpositions.com/ad/eth-zurich/2026/phd-position-in
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://www.academictransfer.com/en/jobs/363202/phd-candidate-development-of-hu… Requirements Additional Information Website for additional job details https://www.academictransfer.com/363202/ Work Location(s) Number of offers