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are seeking to appoint a Postdoctoral Research Associate with experience of structural biology techniques to join Dr Paul Elliott’s Lab to investigate the mechanisms of ubiquitin signalling within inflammation
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The Parasite Biology Lab, led by Dr Gabriel Rinaldi at the Department of Biology is interested in the fundamental biology of parasitic worms that affect over 1 billion people worldwide. Both
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of research findings • Collaborate closely with internal and external researchers, including opportunities for co-supervision of students Lab Environment The T-cell Biology Group is part of the MRC WIMM
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We are seeking a Postdoctoral Research Associate to support our projects to understand membrane evolution. The aim of this project is to understand the evolution of the membrane proteome across the tree of life. The main responsibilities will be to identify ancient gene families that encode...
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About the role We are seeking a highly motivated and ambitious Postdoctoral Researcher to join our team in addressing a key question in cancer biology: why brain cancer cells resist current
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About the role The Kelly lab is excited to announce a new post-doctoral position in computational biology. This position is funded as part of an international consortium of scientists who
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close to completing, a PhD/DPhil in cell biology, molecular biology, biomedicine, or a related field. You will have in-depth knowledge and experience in the cell and molecular biology of cancer, as
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protocols. You will work with limited supervision to design and accurately execute experiments to achieve the goals of the project. Applicants should hold, or be close to completion of, PhD/DPhil in Biology
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. You will work with limited supervision to design and accurately execute experiments to achieve the goals of the project. Applicants should hold, or be close to completion of, PhD in Biology or a related
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other members of the group. You will hold a PhD in cancer biology, tissue imaging or a relevant field and will have previous experience in developing and implementing methods for high content imaging