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The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational
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research capacity through the application of optimization methods; - apply innovative techniques to problems related to smart energy networks. 3. BRIEF PRESENTATION OF THE WORK PROGRAMME AND TRAINING
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carrying out mentor-guided experiments for method development, optimization, and validation to assess performance characteristics such as accuracy, precision, analytical measurement range, limits
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stage of the biomonitoring project associated with the appointment. Analytical method development and optimization – You may gain experience designing and carrying out mentor-guided experiments
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Optimization & Management of Power Allocation, Surface & Subsurface strategies), our Industrial Affiliates research consortium on large-load industrial growth in Texas — data centers, oil and gas operations
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preparation of research proposals and grant applications Job Requirements Must hold a PhD degree in transport engineering, maritime transport and management, computer science, or a related field from a good
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This position focuses on the design, development, and evaluation of fluidic logic architectures for next-generation soft robotic systems. The work forms part of a research programme advancing
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, explainability, and clinically meaningful performance metrics Optimizing computer vision and multi-modal models for efficient, low-latency inference on resource-constrained or edge devices relevant to point
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of microbial genetics and physiology to optimize fermentation strategies through novel strain development and modification of bioprocessing parameters. Learning Objectives: You will gain experience in
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) Country Portugal Type of Contract Not Applicable Job Status Full-time Hours Per Week 35 Offer Starting Date 14 Sep 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU