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the successful candidate embarking on a PhD programme at LSHTM. It is anticipated that the role will lead to a further 18 month funded opportunity at Max Planck Institute for Demographic Research (MPIDR), in
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Science and Technology (CST) at the University of Cambridge. The goal of this PhD programme is to launch one "deceptive by design" project that combines the perspectives of human-computer interaction (HCI) and
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completion of a 1st Class Master's in Chemistry, Chemical Engineering, or a related field. A background in flow chemistry (and/or high-throughput experimentation), as well as proficiency in programming
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our CDT program, and warmly encourage applications from students of all backgrounds, including those from underrepresented groups. We particularly welcome students with disabilities, neurodiverse
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observations and modelling of the physics and biogeochemistry of Antarctic shelf seas. You will gain experience in computer coding, statistics for environmental science, working with and piloting autonomous
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funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number RS898 Is the Job related to staff position within a Research Infrastructure? No Offer Description Infrared
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Specification We seek an enthusiastic individual who is interested in marine ecology, computing, with some prior experience in programming and data handling, eager to communicate findings to wider stakeholders
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on the topic (2,4). Training and Development Training will maximise future employability in academia and industry: Programming and geospatial data analysis using Python/R. Machine/deep learning techniques
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. Bioinformatics: Comparative genome analysis, detection of selection, and functional genomics, phylogenetics. Computational skills: UNIX/Linux, HPC computing, and programming in R and Python. You will gain hands
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PhD journey with: Full coverage of PhD programme fees £20,780 annual tax-free maintenance grant Higher education teacher training and practice A £700 per year research allowance available from Year 2