56 algorithm-phd-"INSAIT---The-Institute-for-Computer-Science" positions at University of London in United Kingdom
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Applications are invited for this PhD training programme to commence in September 2026. Led by the London School of Hygiene & Tropical Medicine, this PhD Programme is offered by five UK and six
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sequencing data from individuals with the C9orf72 repeat expansion. This post requires extensive experience in analysis of genomic data, supported by a PhD. They will support the development and applications
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diabetes and prediabetes by analysing voice patterns, providing a non-invasive and innovative method for early diagnosis. Specifically, this project will develop novel deep learning algorithms, and audio and
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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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will plan and conduct experiments, generate high-quality data, prepare publications, make presentations and help supervise associated PhD students. The successful candidates will join large, supportive
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help supervise associated PhD students. The successful candidates will join large, supportive research teams led by Profs Knight, Screen and Connelly all working collaboratively at Queen Mary. This is an
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groups in the areas of Intelligent Systems, Machine Learning, Algorithms and Complexity, and Programming Languages and Systems. The Department has also made recent appointments in Quantum Computing and
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biomedical data scientist / computational biologist to join our highly collaborative team at QMUL. PhD (or close to completion) or research qualification/experience equivalent to PhD level in the relevant
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Tissue Act. The successful candidate will have a good understanding of pharmacology, experience of human tissue bath pharmacology, and possess a PhD and a track record of publications in peer reviewed
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About the Role We are seeking to recruit an outstanding lab-based molecular biologist with or about to receive a PhD, who has experience in development and application of next-generation sequencing