625 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UNIV" "UNIV" "Univ" "UNIV" Fellowship positions in United Kingdom
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in aeroacoustics, with a strong emphasis on data analysis and a deep understanding of aeroacoustics fundamentals. Demonstrate excellent communication skills, both written and verbal, as evidenced by
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omics techniques to bacterial isolates, or metagenomic samples from the clinic or environment. Able to perform downstream bioinformatics and data analysis (working with other post doc bioinformaticians
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of what data to analyse first, and whether to gather additional intelligence, potentially at the cost of delay or increased risk. Addressing this challenge is becoming increasingly urgent as both the scale
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/Computer Vision. The experience in diffusion models is a plus. Have a PhD degree in computer science/engineering or related disciplines. Knowledge of autonomous vehicles or cyber security will be
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basis starting from 01/04/2026 for 24 months. For further information, please contact: Prof. Victoria Chapman (victoria.chapman@nottingham.ac.uk ), Dr Federico Dajas-Bailador (F.Dajas-Bailador
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at LSHTM. The post-holder must have a postgraduate degree in a relevant topic (ideally Medical Statistics or equivalent) and relevant experience in using regression models for data analysis and statistical
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failure to provide this information will mean that the application will not be considered. An answer to any of the criteria such as "Please see attached CV" will not be considered acceptable.
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in aeroacoustics, with a strong emphasis on data analysis and a deep understanding of aeroacoustics fundamentals. Demonstrate excellent communication skills, both written and verbal, as evidenced by
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biological inspiration to investigate self-reconfiguration, self-healing, self-repair/community repair, and design for SE for autonomous robotic systems. gathering experimental results and presenting data as
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Github • Using a range of computer systems to run fluid flow simulations and optimisation algorithms, including High Performance Computing architectures • Assist and mentor students and research group