48 phd-position-in-data-modeling Fellowship positions at University of Birmingham in United Kingdom
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for publication, research seminars etc Supervise students on research related work and provide guidance to PhD students where appropriate to the discipline Contribute to developing new models, techniques and
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interpretation. This role will involve working closely with civil engineers, computational modellers, Physicists, and geophysicists to translate raw sensor outputs into actionable insights. Role Summary Lead data
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for publication, research seminars etc Supervise students on research related work and provide guidance to PhD students where appropriate to the discipline Contribute to developing new models, techniques and
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and 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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Job Description Position Details The Institute for Data and AI (IDAI) Location: University of Birmingham, Edgbaston, Birmingham UK Full time starting salary is normally in the range £36,130
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can be leveraged to accelerate learning from both classical and quantum data. The project will develop rigorous theoretical frameworks to understand key properties of quantum machine learning models
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and provide guidance to PhD students where appropriate to the discipline Contribute to developing new models, techniques and methods Undertake management/administration arising from research Contribute
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data. Apply knowledge in a way which develops new intellectual understanding. Contribute to developing new models, techniques and methods as required by their research project. Present research outputs
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Job Description Position Details Department of Cancer and Genomic Sciences, School of Medical Sciences, College of Medicine and Health Location: University of Birmingham, Edgbaston, Birmingham UK
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model, and fostering an inclusive working culture Person Specification PHD (or near to completion) degree in Physics and/or Astrophysics, and experience with interpretation of astronomical data High level