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Posting Title Graduate PhD Student Intern (Summer) – Mathematical Optimization . Location CO - Golden . Position Type Intern (Fixed Term) . Hours Per Week 40 . Working at NLR NLR is located
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Midlands Graduate School Doctoral Training Partnership | Nottingham, England | United Kingdom | about 2 months ago
Joint Studentship between University of Nottingham (where the student will be registered)and the University of Birmingham to commence in October 2026. Executive functions and attentional control skills
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Silveira Júnior IV - Work Plan / Goals to be achieved: The aim of the research grant is to carry out research under the WOOSU project - “Waste Water Treatment Optimal Operation and Symbiotic Upgrades”, with
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on the distribution grid with distributed energy resources (DERs). The intern will work on projects developing learning-based analytics, and cyber-attack-resilient control strategies and optimizations for power
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Infrastructure? No Offer Description Area of research: PHD Thesis Job description: Your Job: Energy systems engineering heavily relies on efficient numerical algorithms. In this HDS-LEE project, we will use
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detection with minimal latency. Combined with efficient signal processing, this approach enhances detection accuracy while optimizing resource use, supporting cybersecurity and sustainability in IIoT networks
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Your Job: Energy systems engineering heavily relies on efficient numerical algorithms. In this HDS-LEE project, we will use machine learning (ML) along with data from previously solved problem
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The Saarbrücken Graduate School of Computer Science provides an optimal environment for pursuing doctoral studies in computer science at an internationally competitive level. As a student, you
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Infrastructure? No Offer Description Work group: JSC - Jülich Supercomputing Centre Area of research: PHD Thesis Job description: Your Job: We are looking for a PhD student to contribute to the development of fast
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geometries. Current simulation-based approaches require complex 3D meshes and are often too slow for practical medical use. This project aims to create accurate and rapid surrogate models by combining physics