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students. Applicants should hold a PhD, or be close to completion of one, in physics or a related field. A strong experience in the discipline of Theoretical Astroparticle Physics would be essential as
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the programme of research for publication in top quality peer-reviewed academic journals. In addition, you will provide guidance to junior members of the research group including research assistants, PhD students
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methods relevant for drug discovery analysis pipelines, trial design and operational efficiency. Other responsibilities will include helping with supervision of PhD students working on projects as part of
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of RNAseq data and in vivo modelling of cancer. In addition to leading your own research, you will provide guidance and support to junior members of the lab, including PhD and project students, research
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of progression to sAML. You will contribute to the study and sequencing design, collaborate with experimental biologists to validate the hypotheses, and advise and supervise computational staff and students. You
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expected that the successful candidate will contribute to the computational analysis of multi-omic data that will be generated during the project. The candidate must hold or be near completion to a PhD/DPhil
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the laboratories of Prof Carlo Rinaldi. You will be well supported by the existing joint team, currently consisting of postdocs, bioinformaticians, PhD candidates, and research assistants. The post holder will be
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tutoring of undergraduates and graduate students. Applicants should hold a PhD, or be close to obtaining of one, in physics or a related field and have a background in computational plasma physics
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established multidisciplinary research team, undertaking and directing the research day to day whilst also supervising both technical staff and graduate research students attached to the project. The successful
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of the research group including project students and PhD students. Applicants will have, or be close to completing a PhD in a relevant field and possess relevant experience, in the area of probability