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Field
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collaborative team of engineers, analysts, and software developers. GAC works to develop and apply state-of-the-art energy system modeling techniques, software, and simulations for breakthrough engineering and
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advanced in vitro gut models, fungal genomics, metabolomics, and host–pathogen assays, you will determine how mycoprotein-driven changes in bacterial communities and metabolites regulate fungal growth
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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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an academic paper, discussing requirements with hardware engineers, or presenting at a conference. Self-driven: While you will be fully supported by your supervisors and the research group, you take ownership
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for e-DAC. The research will involve molecular-level modeling and data-driven analysis to guide the design of redox-active capture materials, combined with experimental validation in electrochemical cells
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SFI FAST: PhD position in Microstructure/texture evolution during extrusion of scrap-based Aluminium
development of the FAST Virtual Lab, a digital framework combining experimental data, physics-based models, and data-driven methods to support design, manufacturing, and decision-making across aluminium value
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mapping to clinical data models and ontologies e.g. OMOP CDM, SNOMED CT, FHIR Contributing to interoperable and FAIR-compliant data infrastructures that enable secure data sharing, reuse, and AI-driven
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analysis and electrical engineering. The role is for the third intake of the EnerHy programme which commences in October 2026. Research project overview: Statkraft is a leading provider of Stability Services
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, you will generate and study human induced pluripotent stem cell (hiPSC)-derived cardiomyocytes and engineered cardiac tissues (ECTs). You will develop patient-specific cardiac models to identify
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of internationally visible, foundational research in AI-driven semantic structure extraction, automated reasoning-flow modeling, and adaptive content generation. The research focuses on methods for analyzing and