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the overall research goals for AI STORIES. Please see the project website for more information about the project . About the PhD position and research training: The main purpose of the PhD position is to
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and statistical modeling for reliable analysis on spatial multiomic data. The candidate will work on both probabilistic modeling, software development, and cancer biology analysis for this position
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guidance to PhD students where appropriate to the discipline Contribute to developing new models, techniques and methods Undertake management/administration arising from research Contribute to Departmental
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life cycle analysis methodologies. Proficiency with modelling and simulation software relevant to TEA and LCA. High analytical ability to analyse and illuminate data, interpret reports, and bring new
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advancing impactful Health Services Research. The successful candidate will support and/or lead research projects focused on improving patient care delivery, evaluating new care models, and informing health
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work on both probabilistic modeling, software development, and cancer biology analysis for this position. PhD in computer science, computational biology, or related quantitative field. Strong oral and
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other project partners, and to take advantage of training opportunities targeted at early career researchers. About you You will have a PhD in mathematical modelling or related discipline with research
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communication processes for accessible climate science information. Co-designing youth participatory action research initiatives. Required Qualifications PhD received within the past 3 years in social sciences
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Social and Historical Sciences. For more information, please visit http://www.ucl.ac.uk/about UCL Mechanical Engineering has been pioneering the development of engineering education, having taught the core
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of High throughput Calculations Fluency in relevant models, techniques or methods and ability to contribute to developing new ones High level analytical capability Ability to communicate complex information