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University Work duties: This postdoctoral position is part of the AFLOW consortium supported by the Swedish Energy Agency and focuses on materials modelling of chemical stability in aqueous organic redox flow
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laser repair system that integrates corrosion assessment, cleaning, cutting, repair, and painting within a single robotic unit. Using computer vision, machine learning, and predictive models, it enables
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Director, Illinois Three-Dimensional (3D) Mesonet - Illnois State Water Survey, Prairie Research Ins
real time analyses and forecasts from physics- and AI-based prediction models as well as stakeholder products and services. *Help sustain relationships with NOAA’s National Mesonet Program, state
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. The postdoctoral scholar will contribute to an exciting research program within the Foy Lab (https://foylab.xyz/ ), focused on developing computational methods to enhance how we collect, analyze and use clinical
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the role of extracellular vesicles (EVs) in disease pathogenesis and their potential as therapeutic agents and diagnostic tools. Using in vitro, ex vivo, and in vivo models, the lab studies EVs derived from
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the development of realtime motion adaptation during treatment on the MR-linac and conventional linac platforms, the development and clinical use of predictive models using machine learning/AI for treatment
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. Collection and processing of life cycle inventory data and modelling in SimaPro, enabling the quantification of environmental impacts and the identification of improvement opportunities. Data validation and
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appropriate field. You will work on the project “Data-Driven Micromagnetic Modelling”. Your job This study contributes to SPARK, an ERC Consolidator project that aims to unlock magnetic information stored in
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sequencing, and predictive modelling to define the immediate molecular consequences of light and temperature signals. One crucial component of plants’ sensory network is the circadian clock. In plants
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Boromi to start in October 2026. Playful parent-child interactions and child-led exploration in the early years is fundamental to learning, and predictive of diverse positive child outcomes. Barriers