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at: https://www.umu.se/en/department-of-computing-science/ Project description and working tasks The project will develop privacy-aware machine learning (ML) models. We are interested in data driven models
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algorithms for microscopy image analysis problems (primarily 2D timelapse data), which are driven by real applications in life science research Developing solutions to integrate large foundation models
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? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description “Development of an AI-driven generative 3D modeling framework". The main
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17 Jan 2026 Job Information Organisation/Company Tallinn University of Technology Research Field Computer science » Programming Computer science » Other Engineering » Systems engineering Engineering
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models ignore this exposome. In BEE, we will build explainable, physics-guided, GeoAI-driven models that: Predict acute and chronic NCD risks at the population scale Identify vulnerable neighbourhoods and
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and Energy (HDS-LEE), the project offers an interdisciplinary research environment at the interface of bioengineering, computational biophysics, and data-driven modeling, with strong links to open
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intersection of solid mechanics, constitutive theory, and data-driven modeling, while contributing to fundamental advances in soft material mechanics and developing transferable skills applicable to a broad
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8 Jan 2026 Job Information Organisation/Company UNIVERSIDAD POLITECNICA DE MADRID Department HRS4R Research Field Engineering » Mechanical engineering Researcher Profile First Stage Researcher (R1
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simulations. Data-driven materials discovery: ML models for property prediction, materials design, or synthesis optimization. AI/ML methods development: Neural networks, graph neural networks (GNNs), generative
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the rapid transition from AI-driven predictions to experimental validation and workflow optimization. We are seeking an experienced Lab Manager to build, lead, and operate this new Technology & Wet Lab Unit