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Field
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About us UCL Energy Institute - Our aim is to help to build a globally sustainable energy system, by bringing to bear multiple disciplinary perspectives to observe, analyse, model and interpret
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fit, R&D experience, and vision for the Cognition X Lab’s cognition for carbon mitigation and research agenda • CV (including publications and software/projects) and academic transcripts • Two
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at the University of Michigan Medical School. Using a combination of in vitro and in vivo modeling, analyses of clinical brain tumors samples and multi-omics (including single cell and spatial transcriptomics) our
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biology, epigenetics or microbiology. Skills and experience: The ideal candidate should have significant experience in molecular biology and mouse models of cancer. Having publications in the fields
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. Candidates will perform research on agentic AI, foundational modeling, optimization, and control of multiagent autonomous systems with an application in renewable energy and power grids, in addition to working
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Meridional Overturning Circulation, from models and in situ data 2) using Lagrangian measurements to study ocean dynamics, for example transport and spectral characteristics 3) ocean-bathymetry interactions
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. The lab utilizes a range of interdisciplinary and multi-method approaches including advanced statistical modeling, laboratory-based stress paradigms, ecological momentary assessment, and biomarker analysis
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factors or cognitive science/psychology, especially as applied to AI decision support, situation awareness, information seeking, etc. Demonstrated expertise in applying models of higher-order cognitive
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intelligence. Research areas span: Digital transformation of Business and Operating Models; Organizational and Workforce Transformation; Entrepreneurial Problem-Solving and Venture Development, and Innovation
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candidates who have engineered NK cells or macrophages; built logic-gated/synNotch circuits or safety switches; used CRISPR (including base/prime editing); worked with brain tumor models, BBB systems