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different species behave in swarms, how they use sensory cues from their environment, bringing new hindsight about the evolution of collective behaviour. You will deploy a multi-camera 3D tracking system in
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scholarship in “Unsupervised Machine Learning for Cardiovascular Image Analysis”. This opportunity is available to UK (Home) candidates only. Fully-supervised AI techniques have shown remarkable success in
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environmental stressors, in particular heat, and patterns of violence in the UK. This project will largely use quantitative methods to explore the relationship between climate change and violence. A key component
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trapping and analysis using state-of-the-art nanopore experiments. About the Project Our group has pioneered the development of the Nanopore Electro-Osmotic Trap (NEOtrap), a groundbreaking technique that
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You will lead the qualitative work to understand how individuals experienced the intervention and app how it worked. This will directly impact the design and refinement of the intervention, and so
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diversity. We are looking for a motivated applicant with good competences in operation research who wants to gain hands-on experience in cutting-edge energy modeling and analysis to be part of the Ports as
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energy modeling and analysis to be part of the Ports as Energy Transition Hubs (POTENT) Marie Sklodowska-Curie Actions Doctoral Network. The network will consist of 15 PhD candidates interested in
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Job Description Apply now Job Title: Postdoctoral Fellow PhD Division: Neurology Work Arrangement: Onsite only Location: Houston, TX Salary Range: Hiring up to $62,232 FLSA Status: Exempt Work
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Job Description Apply now Job Title: Postdoctoral Fellow PhD Division: Neurology Work Arrangement: Onsite only Location: Houston, TX Salary Range: Hiring up to $62,232 FLSA Status: Exempt Work
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We are looking for a keen and bright candidate for a PhD position that is available for a four-year term as part of the recently awarded ELSA Lab for Technical Industry (ELSA4TI) (funded within