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infectious disease epidemiology and mathematical modelling in Biology and Medicine. Experience in parameter estimation, knowledge of Bayesian methods and computer programming skills would be an advantage. Good
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deterministic inputs, often using “best guess” values. These methods miss the probabilistic nature of input parameters, thereby underestimating unstart risks and limiting confidence in scramjet operability
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autonomous by embedding machine learning algorithms to search through different reaction parameters Person Specification Candidates should have been awarded, or expect to achieve, EITHER: A Bachelors degree in
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these constraints into the training objective, complicating model training. This project aims to leverage advancements in computer vision, particularly in implicit neural representations, to embed priors in neural
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electrical and thermal modelling, parameter/state estimation, diagnostics/prognostics and system control. It is difficult to be unaware of the efforts going into the development of low-carbon alternatives
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. This is what you will do AI and machine learning models keep getting better, but how they make their decisions often remains unclear, because these depend on many incomprehensible model parameters that have
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Muscle Dynamics: Approximate muscles as “cables” with Hill model dynamics within the SOFA framework. Simulate muscle contraction patterns and their interaction with the larva’s environment, including
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generation of social, computer-based, and cyber-physical systems that make a substantial contribution to the welfare of our society, for example, via embodied intelligent systems that are tailored to users
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conducted with different composite material parameters (thickness, lay-up, and types of fibre and matrix) in order to develop optimised FML composites with high durability and fatigue life. The expected
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10 Mar 2025 Job Information Organisation/Company Instituto Politécnico de Setúbal Research Field Engineering » Computer engineering Researcher Profile First Stage Researcher (R1) Positions PhD