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for Predictive Product Properties (MTV)". Your research focuses on the experimental and material-modelling foundations required to enable predictive and controlled TVAM. You will be embedded in the Processing
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combine density functional theory (DFT), molecular simulations, and machine-learning force field (ML-FF) development to uncover the factors controlling NHC–surface interactions and to model realistic
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(DERs), PV, BESS, diesel gensets, or DC microgrids is highly advantageous. Familiarity with energy management systems, microgrid control strategies, or predictive/dynamic control will be an advantage
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through in vitro cell models. 2. Workplace The workplace is located at the Porto facilities of Universidade Católica Portuguesa. 3. Remuneration Gross monthly pay is 1402,88€, plus meal allowance, to which
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to improve predictive models and inform design strategies. Work in Practical Settings — engage directly with NIHE to implement and test research methods in operational housing schemes. This work will equip
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- specific predictive models, the lack of explainability in AI-driven decision processes, and the difficulty of capturing long-term dependencies in time-series data. In this project, you will focus
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results but are hampered by large individual differences in response. It is evident that we need to rethink the premises of randomized controlled trials (RCTs) to better predict who will benefit from which
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partner from data sciences provides data management and AI based Image analysis, an internal simulations group working on quantitative models to reproduce and predict experimental data, and an internal
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control solution to optimize the operation of the incineration process in biomass recovery plants. The ultimate goal is to increase the amount of energy per unit volume of biomass. The project is led by
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workflows that integrate modern AI and machine learning concepts (e.g., surrogate models, adaptive sampling strategies) into the drug discovery pipeline to increase throughput and predictive accuracy