21 information-theory Postdoctoral research jobs at University of Liverpool in United Kingdom
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interventions for Equity”. You will join this inter-disciplinary research project which is a collaboration of academic researchers from the Universities of Liverpool and Cambridge and several non-academic partner
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Postdoctoral Research Associate: The Role of the Astrocytic Endosomal System in Health and Disease. Dr Kirsty McMillan at the University of Liverpool, UK, is seeking an outstanding postdoctoral
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EQUIS, AACSB and AMBA accredited, the University of Liverpool Management School is an international management school based in an enterprising and vibrant, world city of culture. Formed in 2002
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, including microbiome data, transcriptome and small RNA sequencing datasets and proteomic/metabolomic datasets. The successful applicant will be joining the Veterinary Parasitology group in IIVES as a member
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Institute for Renewable Energy, Department of Chemistry, University of Liverpool. This is the joint project between UK (E.P.S.R.C. funding) and USA (NSF funding). The project is targeted on an ultrasonic
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We offer a Postdoctoral position (24-months) in Merino Lab (University of Liverpool-(ISMIB)). This position is funded by the Springboard Award, the Academy of Medical Sciences (Start-date-September
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The Faculty of Health and Life Sciences at the University of Liverpool is seeking a highly motivated and experienced Post Doctoral Research Associate to join the Peer-to-Peer Support in Head and
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researcher to join the Department of Public Health, Policy and Systems at the University of Liverpool to join this inter-disciplinary research project which is a collaboration of academic researchers from
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This role is an exciting opportunity to work on the interplay between biology and physics on ocean carbon sequestration by the Biological Carbon Pump. You will run an ocean biogeochemical model
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information on lahar flow regime and flow properties can be extracted from their geophysical signatures (seismic, acoustic, deformation) opening the possibility of developing early warning systems that predict