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Field
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divided into seven research programs that all focus on different areas within cell and molecular biology: computational biology and bioinformatics, microbiology and immunology, molecular biology, molecular
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biomolecular interfaces. It also covers development of bespoke Molecular Replacement methods to fully exploit RNA structure predictions. You should have a PhD degree (or equivalent experience) in Informatics
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biomolecular interfaces. It also covers development of bespoke Molecular Replacement methods to fully exploit RNA structure predictions. You should have a PhD degree (or equivalent experience) in Informatics
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editing strategies and to select disease variants. Applicants should hold a relevant PhD (or be close to completion - thesis submitted at time of application) in Computational Biology, Bioinformatics
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cross-disciplinary team of scientists, including pharmacologist, biomedical engineer and mathematical modeller under a Wellcome Trust funded research programme. You should have a PhD degree in stem cell
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cross-disciplinary team of scientists, including pharmacologist, biomedical engineer and mathematical modeller under a Wellcome Trust funded research programme. You should have a PhD degree in stem cell
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of Alzheimer’s disease pathology. Competitive candidates should have a PhD in relevant fields and have a strong background in fundamental aspects of neuroscience, neurochemistry, immunohistochemistry, cellular and
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and to participate in the development and application of computational methods for RNA targeting. The successful candidate should hold, or be close to completion of, a PhD/DPhil in computational biology
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for an initial term of 2 years, with the possibility of additional years based on accomplishments. Qualifications The candidate should have a PhD in Biology or related areas, MD, or MD/PhD with proven and
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- 4 Research FieldBiological sciences » BiologyYears of Research Experience1 - 4 Additional Information Eligibility criteria The highly motivated candidate must hold a PhD in cell biology, immunology