730 phd-position-in-data-modeling-"Prof"-"Prof" Fellowship positions in United Kingdom
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project to better understand how to build geophysical models of the subsurface which account for the uncertainty in current geophysical data, in order to assess the potential for sustainable energy
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. The project seeks to develop mathematical models for allocation of critical resources during pandemics. Populating these instances with real-world data we would then develop novel algorithms to solve them
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Job Description Position Details Department of Applied Health Sciences, School of Health Sciences, College of Medicine and Health Location: University of Birmingham, Edgbaston, Birmingham UK Full
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collaborative research environment that exemplifies IDAI's distinct approach to interdisciplinary data science and AI research. Person Specification PhD (or near completion) in Computer Science, Data Science, AI
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on research related work and provide guidance to PhD students where appropriate to the discipline Contribute to developing new models, techniques and methods Undertake management/administration arising from
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Collaborate on synthetic data modelling and NLP techniques to support safe, reusable research practices Support stakeholder engagement, training and product ownership across federated TREs Establish and nurture
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Collaborate on synthetic data modelling and NLP techniques to support safe, reusable research practices Support stakeholder engagement, training and product ownership across federated TREs Establish and nurture
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for assessments. Analyse and interpret data. Apply knowledge to advance new intellectual understanding. Disseminate findings through publications, seminars, and conferences. Supervise students and guide PhD
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remodelling in Acute Respiratory Distress Syndrome (ARDS). The study will investigate the cross-talk between premature senescence and alveolar epithelial function and immune response in ARDS using animal models
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remodelling in Acute Respiratory Distress Syndrome (ARDS). The study will investigate the cross-talk between premature senescence and alveolar epithelial function and immune response in ARDS using animal models