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Postdoctoral Research Fellow (PDRF) for a duration of 3 years starting 2 September 2024 as part of the UKRI Future Leaders Fellowship: “Using Mathematics to Disentangle the Role of Synaptic Communication
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science, mathematics and AI research (see example work below). Alongside its international academic profile, LEEP also has an extremely strong track record of working with government and business delivering
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on global health systems; Develop mathematical modelling and climate change risk indices; Support outreach plans. About you The successful applicant will be able to develop research objectives, projects and
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completion or have already completed a relevant PhD or equivalent qualification/experience in a related field of study (Numerical Physics, Theoretical Physics, or Applied Mathematics). You will possess
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implement algorithms, analysis methods, visualisation tools and machine learning approaches to interrogate multimodal ‘omics datasets. You will create mathematical and/or computational models
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. The candidate will possess strong mathematical, data analysis and programming abilities, ideally in Python and/or FORTRAN. The candidate will have experience of non-linear dynamical systems. _ The successful
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will work with experimental imaging data and develop and analyse mathematical models describing the activity of the hypothalamic-pituitary-adrenal (HPA axis). About you The successful applicant will be
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conferences or journals in the related areas (e.g., computer vision, machine learning, natural language processing or speech analysis). Excellent mathematical and programming skills Python, C, Matlab, or other
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qualification/experience in a related field of study. Relevant fields include data science, computational social science, computer science, mathematics, physics, quantitative social science, and other related
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to the process of securing funds and make presentations at conferences and other events. Applicants will possess a relevant PhD or equivalent qualification/experience in mathematical, computational, or systems