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research involving biological data analysis and modeling of biological systems. In particular, they will develop and apply algorithms to construct discrete dynamic models of signal transduction networks
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Information Theory. While excellent candidates with other research interests might be considered, priority will be given to those able to relate to one or more of the above topics. Applicants must have a PhD in
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. This may include lecturing, small group teaching, and tutoring of undergraduates and graduate students. Applicants should hold a PhD/DPhil, (or close to completion) in atmospheric physics or related fields
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opportunities to develop research profile, to travel to give demos and presentations, and to write academic papers. Candidates should hold a PhD degree in Computer Science or other relevant discipline. The
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Number: 170516 Minimum Education and Experience: Qualified candidates are required to have a PhD or an equivalent doctoral degree and experience in neuroscience, neurotoxicology, epigenetics, or other
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programme investigating early lung fibrosis at King’s College London. It is anticipated candidates will have a relevant PhD in immunology or respiratory sciences, and have experience with cell culture
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the level of post-doctoral researcher with two-year term. The Position will remain open until filled. Fresh PhD graduates are encouraged to apply. The candidate is expected to: Carry out novel research and
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collection and analysis, and co-authoring outputs for academic and practitioner audiences. You will have: (A = Assessed at the Application stage / I = Assessed at the Interview stage) A PhD in (Secondary
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programme investigating early lung fibrosis at King’s College London. It is anticipated candidates will have a relevant PhD in immunology or respiratory sciences, and have experience with cell culture
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proven track record and an independent working style. Your Profile The successful candidate should have a PhD and should have a strong scientific background in electrophysiology and fiber photometry or Ca2