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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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successful candidates will dedicate their efforts to the following specific research objectives: (1) Developing models for predicting the thermal runaway (TR), venting, and jet fire in a single cell with
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that help determine when an AI model is ready for use and when more research is needed. PhD in Epidemiology on value-of-information from validating clinical prediction models and AI Our goal: Develop value
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is to design a data architecture capable of harmonising sensor data and integrating them with artificial intelligence algorithms for predictive irrigation management. The research will include
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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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working with numerical weather prediction (NWP) or Earth system models such as WRF or the Unified Model. Strong preference will be given to candidates with experience in next-generation frameworks like
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thermomechanical processing and develop computational models to predict mechanical properties, their evolution, and formability. Through August 2026, contribute to the DOE ARDAP research project by evaluating