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BBSRC Yorkshire Bioscience DLA Programme: Human Stem Cell-Based Approaches for Neurotoxicity Testing of Environmental Contaminants (CASE Project) School of Biosciences PhD Research Project
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autonomous systems, complex networks, data-driven modeling, learning control, optimization, and sensor fusion. The division has extensive collaborations both with industry and other research groups around the
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Computing Center (MGHPCC). You will help with optimization of code and utilization of scheduler features to maximize throughput of jobs. In addition, you will work with research groups to help identify
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. Besides opportunities offered by the research group, further doctoral training for PhD candidates is provided in the framework of the KU Leuven Arenberg Doctoral School (https://set.kuleuven.be/phd ), known
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Optimization and Sustainability Cluster roadmap, focusing on: Process modeling, simulation, and optimization for chemical, energy, and environmental systems using Aspen Plus, Aspen HYSYS, and other advanced
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of flotation process parameters based on experimental results. Work closely with a multidisciplinary team, including experts in mineral engineering, chemistry, and process optimization. Supervise MSc/PhD
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National University of Science and Technology POLITEHNICA Bucharest, Pitesti Branch | Romania | 27 days ago
Research Field Engineering » Electronic engineering Researcher Profile Established Researcher (R3) Positions PhD Positions Country Romania Application Deadline 9 Dec 2025 - 16:00 (Europe/Bucharest) Type
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. et al. (2024). Design of high-performance entangling logic in silicon quantum dot systems with Bayesian optimization. Scientific Reports 14, 10080. https://doi.org/10.1038/s41598-024-60478-9
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interconnected nature of these systems demand advanced modeling and control tools that leverage their distributed and structured characteristics for effective optimization and performance. Information As an
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offers transformative potential in this space, enabling automation of complex tasks, optimization of design flows, and adaptive systems. Techniques like reinforcement learning, neural architecture search