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ideal for a researcher who possesses working fluency across both computational AI architectures and physical lab automation. We are seeking someone with an eagerness to master missing domains and a strong
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implementation of constitutive models within commercial and/or open-source finite element software is required. Preferred Qualifications: Demonstrated expertise in multi-physics FE simulations is preferred
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to the development of high-quality empirical research proposals on relevant research questions, to be operationalised from conception through to research ethics, data collection and writing up. You will lead on the
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, industry partners, and international collaborators. The position offers an opportunity to contribute to leading-edge research focused on metallic materials, additive manufacturing, physical metallurgy, and
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developing a screening tool to support clinical evaluation for psychosis risk, powered by generative artificial intelligence. You will lead a project to develop a novel research method for identifying and
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years. The project involves the synthesis and characterisation of molecular lanthanide complexes to develop physical inorganic principles for controlling optical linewidths and oscillator strengths in
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$59,000/year Type of Position Staff Position Time Status Full-Time Required Education PhD/MD-PhD Required Related Experience Immunology Required License/Registration/Certification None Physical Requirements
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Postdoctoral position for the project Human AI Collaboration: Imaginaries, Interventions, Interfaces
the stated framework of the research project (max. 1-2 pages). Please note that although the application process can be completed on the Aarhus University system without uploading publications or a teaching
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& Human Flourishing, Stoke House, Oxford, OX3 9BX. You will lead a programme of research in the foundations of AI alignment for human flourishing.You will manage and monitor research resources and
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systems. Spectroscopy, hyperspectral imaging, remote sensing, IoT, and process measurements are important data sources within this broader framework rather than requirements defining a single experimental