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to gain a better understanding of the tumour microenvironment. Our researchers use the latest single-cell genomics technologies to rapidly identify genes that are involved in the development of cancer
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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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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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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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professional goals. Along the way, you will engage in activities and research in several domains. Available topical areas include, but are not limited to: Optimization Reinforcement learning Bayesian analysis
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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
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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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. However, work from our group and others has revealed that depending upon the application, up to 60% of antibodies available commercially do not work as recommended by manufacturers. To address this problem
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to candidates who: Work plan: Applicable legislation and regulations: Duration and regulations: The scholarship will start on February 2026, and will last for 15 months. Monthly maintenance stipend: Workplace
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computational methods, will be used to identify and validate promising candidates. Further design and engineering efforts will be utilized to optimize and port successful sensors into sensing platforms being