23 computer-vision-and-machine-learning Postdoctoral positions at University of London
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About the Role We have an opportunity for either a Post Doctoral Research Associate or Computational Biologist* to join the dynamic lab of Dr Inês Sequeira (https://www.sequeira.science/ ), who co
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, policymakers etc) to develop a critique of the drivers and negative externalities of industrial animal agriculture. The CRILS Network Post Doctoral Research Fellow /Programme Manager will deliver online and in
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seek an ambitious and self-motivated postdoctoral researcher with a strong background in bioinformatics and/or computer sciences (or related fields). Experience with AI and Machine Learning models in
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practice impact while also learning about machine learning techniques. The successful applicant will work in the newly formed Health Equity Evidence Centre and innovative new centre that will generate data
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normal visual range) to generate detailed 3D images of any patient with high resolution! This is the global vision and targeted ambition of this 2050 proposal. This will allow us to target very early
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Machine Learning software, e.g., Python, Java, C++, Prolog, Javascript Proven ability to analyse and write up research results and handle related administrative duties Ability to develop multi-agent
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social norms in a heterogenous agents’ framework. The project will involve economists, psychologists, and computer scientists at Royal Holloway in order to understand how social norms develop and sustain
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, genomic sequencing, machine learning, and capacity development. Candidate profile The role is well-suited to individuals with expertise in population dynamics, quantitative disease ecology, infectious
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-domain radio astronomy with machine learning and scientific software development to build a new framework for analysing pulsar glitches. For this project, the post holder will have access to state
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London where our wet lab is located. We are also part of Cancer Research UK City of London Centre, which sponsor our high-performance computer cluster facility. About You The successful candidate will be