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charging) Predictive charging planning algorithms Railway Smart Pricing models Techno-economic evaluation versus the traditional catenary model This is applied research with validation in simulated
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of mold free shelf-life predictive models, determining the number of variables as well that need to be recorded to be able to train the model; (ii) design and development of a model to predict mold growth
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Intelligence algorithms for the fashion industry, including predictive models for sales and trend forecasting, multimodal generative models for visual and textual content analysis, and decision-support systems
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The goal of the research programme is the design of mathematical models
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for digital twin: 3D model learning, prediction models from imaging and molecular data, model-based simulation coupling, and uncertainty-aware outputs for lab/clinical validation. Work with 3D datasets, time
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physical models (including dispersion forces, magnetic effects, and ligand–solvent interactions), and train modern deep-learning methods to create smooth and reliable energy landscapes. A key goal is predict
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Associate in Research The role involves developing and optimizing machine learning models to predict infectious diseases using multimodal health data. Responsibilities include analyzing correlations between
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recruitment. Anticipating stock renewal is essential for the sustainable management of this resource. However, renewal is highly variable and cannot be predicted based solely on spawning stock biomass
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schools in the world. For more details, please view https://www.ntu.edu.sg/mae/research . The research associate will focus on Vision-Language Model based situation awareness and decision-making
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Dynamic Atomistic Predictions of Crystalline, Crystal Defect and Liquid Metal Properties NIST only participates in the February and August reviews. Classical interatomic potentials provide a means