155 computer-science-intern-"https:"-"https:"-"https:"-"https:"-"IFM" positions at University of Liverpool
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Gabbay and Barr) in the strategic development and delivery of the ARC programme. We are leading together the next ARC from 2026-31, and it is intended this postholder will have a key role in that expanded
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The Malawi Liverpool Wellcome Research Programme (MLW; https://www.mlw.mw) and the University of Liverpool seeks a data scientist at a professorial level to establish and lead a team of data
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cutting-edge laboratory automation in a highly collaborative research environment. About you You will have a PhD (or equivalent) in a relevant area or field related to this project (Computer Science
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Ecological Sciences at the University of Liverpool (UoL), UK. The position is funded by a Natural Environment Research Council (NERC) Pushing the Frontiers award 'CALDERA: Collaborative Approach to integrate
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ecological models using the Oceananigans.jl infrastructure. This is an exciting opportunity to be part of an international collaboration (the Simons Foundation funded Computational Biology in Marine EcoSystems
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the long twentieth century (1890s-2020s). The project team will explore the historical engagements, collaborations and frictions between conservation theories and practices and international, global, and
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the long twentieth century (1890s-2020s). The project team will explore the historical engagements, collaborations and frictions between conservation theories and practices and international, global, and
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Economics. Globally, the School continues its partnership with the International Business School Suzhou (IBSS) at Xi'an Jiaotong-Liverpool University, in Suzhou, China. The newly developing University
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an appreciation and understanding of wireless network communications and their security. Good first degree (minimum 2:1 honours (or equivalent) in computer science or electrical engineering/electronics or relevant
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POSTDOCTORAL RESEARCH ASSOCIATE MODELLING VECTOR (TICK) ECOLOGY AND TICK-BORNE PATHOGEN TRANSMISSION
and Botswana International University of Science and Technology. A PhD in a Biological Science, Computer Science, Mathematics or Statistics, and relevant experience modelling population dynamics