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Field
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joint multi-state models for health care processes and disease progression”. The central aim of this 36 month project is to develop new methods for the joint modelling of disease or other healthcare
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-assisted reservoir characterization/modelling for CO2 storage Apply for this job See advertisement About the position Position as PhD Research Fellow in ML-assisted reservoir characterization/modelling
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electrophysiology (single-unit, multi-unit, or related approaches) in animal models. Strong technical skills in setting up and troubleshooting complex experimental systems. Proficiency in programming and data
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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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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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mechanisms of treatment resistance in adult and pediatric gliomas with a focus on the use and training in a cutting edge techniques such as spatial biology methods, patient-derived human models of cancer
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Familiarity with Earth System Models in general, and NorESM in particular Strong track record of relevant peer reviewed publications All candidates and projects will have to undergo a check versus national
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in at least one of the following areas: molecular cloning and mutagenesis in non-model bacterial species (ideally in a BSL-2 environment), mass spectrometry (ideally in combination with chemical
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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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iterative improvement of both a large data set model, and the techniques to generate informative report-based outputs. About the Role Your role will contribute to the data capture, recording and iterative