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Biology, Physics, Applied Mathematics, Computer Science, Bioengineering, Systems Biology or a related field. Proficiency in modelling using differential equations is required. Candidates must have
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related to early detection and chromosomal instability in cancer. A background in computational biology, mathematics, or computer science is preferable, though we welcome applicants with relevant biological
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class degree in an Physics, Mathematics, Information or Electrical Engineering or related subject. Applications should be submitted via the University of Cambridge Applicant Portal https
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considered to be self-funded students for the purposes of admission. Applicants should have (or expect to obtain by the start date) at least a first class degree in an Physics, Mathematics, Electrical
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and molecular biology techniques (e.g. RNA/protein analyses). Experience in mouse work, organoids, CRISPR, flow cytometry and computational skills is highly desirable. Please note that working with
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for the University Funding Competitions, but, in the event of an unsuccessful funding application, Dr. Seaborn may have the ability to award the successful candidate with a Home Fee Studentship. Note that a successful
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. Applications may close early if the position is filled before this date. Please note that any offer of funding will be conditional on securing a place as a PhD student. Candidates will need to apply separately