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Optimization, within the context of sustainable water-based cooling in megacities. The stipend is open for appointment from February 1, 2026. or soon hereafter. The duration of the position is three years
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EU MSCA doctoral (PhD) position in Materials Engineering with focus on computational optimization of
MSCA doctoral (PhD) position in Materials Engineering with focus on computational optimization of additively manufactured Mg alloys for biodegradable implant applications. Host: Helmholtz-Zentrum Hereon
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methods and design strategies to optimize polarization purity in active array antennas. By addressing these challenges, the candidate will contribute to the next generation of high-performance, active
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description The University of Stavanger invites applicants for a PhD Fellowship in optimization of measurement strategies for efficient and safe drilling operations at the Faculty of Science and Technology
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Position Summary: The UM6P Vanguard Center & The School of Applied Sciences & Engineering at UM6P invite applications for a Scientist in Applied Mathematics, Modeling, and Optimization to contribute
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25th November 2025 Languages English Norsk Bokmål English English PhD Fellowship in Optimization of Measurement Strategies for Efficient and Safe Drilling Operations Apply for this job See
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, we work on the interconnection of crystalline silicon solar cells. We develop and optimize the manufacturing processes and evaluate new materials. Our development priorities are higher efficiencies
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PhD student to establish recipes to provide post-plasma catalysis with different C2Hy distributions and different enthalpy content for optimization of post-plasma catalysis into C2H4. PhD candidate in
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10 Oct 2025 Job Information Organisation/Company Università degli Studi di Udine Research Field Agricultural sciences » Other Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage Researcher (R1) Established Researcher (R3) Country Italy Application Deadline 24 Oct...
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focuses on developing advanced optimization and control strategies (e.g., deep reinforcement learning) for large-scale sustainable grids, to enhance overall system stability, flexibility, and resilience