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Field
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About the Role We are seeking an enthusiastic and motivated postdoctoral researcher to apply advanced data analytics and machine learning techniques to real-world clinical data in the field of viral
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workflows of bioimaging analysis to quantify advanced imaging data generated by super-resolution STED microscopy, FLIM, FRET and FCS. Candidates must hold a PhD in cell biology, biophysics or biochemistry
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work on the PANGEA-HIV project, analysing viral sequence data to assess how effective broadly neutralising antibodies may be against current HIV strains in Southern Africa. Second, you'll support early
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culture and organoids to ensure data is clinically relevant. Our overarching aim is to utilise these techniques to identify therapeutic targets to which we can generate effective treatments. The post would
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the research conducted by master's and doctoral students. This is part of your personality: We are looking for someone with: Minimum Requirements PhD/Doctorate in bioinformatics, computer science, natural
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statistical and computational methods designed to use “big data” and to address questions of direct or indirect relevance to common complex diseases and disorders. The appointee will join the group of Professor
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setups for testing fabricated devices Conduct independent research, analyze data, and publish results Present findings at local and international conferences Mentor graduate students and provide laboratory
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Sciences (HSPS) and also has a vibrant MPhil and PhD programme. There are currently about 80 students working on PhDs on a diverse range of topics in sociology. Further information about research interests
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data; organize and archive data, consent forms, and ethics paperwork in line with project and KCL policies; and deliver periodic presentations and written fieldwork reports to the Principal Investigator
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administrative tasks in research, teaching and administration at the institute and the faculty. This is part of your personality: Completed doctoral/PhD studies in law Outstanding dissertation in the field