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used. AI methods for generating regulatory hypotheses between genes, hormones and physical properties will also be developed. Applicants must have/be close to obtaining a PhD or MPhil in Computational
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used. AI methods for generating regulatory hypotheses between genes, hormones and physical properties will also be developed. Applicants must have/be close to obtaining a PhD or MPhil in Computational
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well as to initiate new queries. As a member of an interdisciplinary team, the candidate will have the opportunity to receive training in a variety of techniques, including molecular biology, embryology, imaging
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/antanaviciute-group-computational-biology-and-tissue-immunology We offer • World-leading infrastructure and facilities • Opportunity to learn cutting edge molecular techniques
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diseases, cell biology, innate immunity or a closely related discipline, or equivalent research, industrial or commercial experience *Candidates who have not yet been officially awarded their PhD will be
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bioprocessing technologies to deliver efficient pathways for upcycling captured carbon into high value products. The successful candidate will have a PhD, or be studying towards a PhD, in synthetic biology or a
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must either have a PhD in a relevant biological subject or have submitted or about to submit their PhD thesis. Candidates must also have demonstrable expertise in biochemistry, cell biology and/or
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molecular biology, quantitative imaging and biophysical approaches to investigate cell shape changes in cultured cells and in vivo. Current projects in the lab include investigating the regulation
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of transposon-derived variation and its role in functional genetic variation and genome evolution in animals. A PhD in a biological science or computational science is essential for this role. Those who have
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on the genetics of appetite and obesity. Candidates should be of postdoctoral level with relevant experience of canine or/and human genomics, or molecular biology. Candidates without PhD but significant expertise