28 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions at University of Liverpool in United Kingdom
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datasets and demonstrate familiarity with statistics software packages, such as Stata and Python. Knowledge about computer text analysis is also desirable. Excellent written communication skills are required
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The Department of Electrical Engineering and Electronics is offering an exciting opportunity to work with Sony Computer Entertainment Europe Ltd (UK) to develop next generation gaming environments
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We are seeking a talented, organised and highly motivated individual to work as a post-doctoral research associate in the Department of Eye and Vision Sciences at the University of Liverpool funded
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of materials (e.g., combining structure prediction and machine learning). For example, we work closely with experts in computer science as part of the Leverhulme Research Centre for Functional Materials Design
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related to computer-aided formal verification. The position is funded through the EPSRC-Project Games for Good grant, with Patrick Totzke, Sven Schewe and Qiyi Tang. Collaborations with other local and
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research, fundamental cell biology and cell signalling with excellent shared facilities including the Centre for Proteome Research, the Computational Biology Facility, the Liverpool Centre for Cell Imaging
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We seek a motivated Postdoctoral Research Associate to join the UK-EDI team, a Cancer Research UK-funded programme aimed at earlier detection of pancreatic cancer. You should have a PhD in cancer
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UKRI-funded programme of research called “SCHOUSE: Supporting Communities in social Housing and Optimising Urban food System interventions for Equity”. This exciting opportunity offers for a postdoctoral
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positive approach to learning. The role will involve working as part of a large, national consortium to support the creation of a `science pipeline¿ in a highly collaborative environment. This post is
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at the University of Liverpool. You will be part of an exciting Liverpool-based UKRI-funded programme of research called ¿SCHOUSE: Supporting Communities in social Housing and Optimising Urban food System