15 computational-biology-physics positions at University of Cambridge in United Kingdom
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, molecular cloning, synthetic biology, systems biology, computational modelling, and image analysis would also be valuable to the role. The successful applicant will be an excellent team player, highly
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degree in Plant Biology, Biochemistry, Systems Biology, Genetics, or related field. A solid foundation in molecular biology and in particular gene cloning is strictly required, alongside a willingness and
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the Gurdon Institute, a centre of developmental biology and cancer research in Cambridge, and the Department of Applied Mathematics and Theoretical Physics. The Institute provides a stimulating environment
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or development of new computational methods applicable to institute research. Computational biology themes within the institute include analysis of whole genome sequencing, RNA-seq, ChIP-seq/CUT&RUN and single
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be based in the laboratory of Dr Daniel Munoz-Espin, Group Leader in the Department of Oncology (Early Cancer Institute) at University of Cambridge and co-Director of the Thoracic Cancer Programme
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within a biological lab environment and/or with animals. You have excellent communication skills, work well as part of a time and have basic computing skills. Due to the nature of the work you should have
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researchers, willing to work on this challenging project at the boundary of biology and quantum physics are welcome to apply. Education & qualifications: Applicants should have, or be close to obtaining, a PhD
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member of an interdisciplinary team, the candidate will have the opportunity to receive training in a variety of techniques including molecular biology, embryology, nanorobotics, imaging, computation and
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The Sawarkar lab at the MRC Toxicology Unit is looking to appoint a Research Associate (Postdoctoral Fellow) to contribute to its programme on Epigenetics, tRNA transcription and Neurodegeneration
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Biomedical Campus in Cambridge. As part of the University of Cambridge School of Clinical Medicine, the Institute's research ranges from basic cancer biology through translational cancer research to clinical