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Experience in statistical or scientific programming (ideally R and/or Python) Experience in analyzing large and/or complex datasets Interest in quantifying uncertainties for computer models and/or climate
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and programming languages (e.g. R, python) and HPC Excellent interpersonal and communication skills across clinicians, wet-lab, and computational teams Desirable criteria Experience supporting
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Requirements: A completed doctoral degree in chemistry, bio technology or a related field. Strong programming skills in Python, R, or similar languages. A track record of research competence and initiative
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technical knowledge and hands-on experience in: Deep learning frameworks (e.g., PyTorch, TensorFlow) Deep learning models (e.g., YOLO, U-Net, EfficientNet, ResNet, FPN, Fast R-CNN) Computer vision techniques
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(including the Higher Education Academy), as well as those with experience in relevant student supervision and teaching activities. * Whilst we seek to appoint at Grade 7, R&D Engineer level, candidates with
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will have a background in computer/data science, and specifically have computer programming experience, working with programming languages such as Python or R, in order to develop and maintain data
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to prosperity for the UK and the world. With a long-term mandate and unmatched freedom and flexibility, ARIA is designed to fund speculative R&D in bold new ways—reimagining how we do science and activating
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. It will bring together academics and creative industry partners to deliver a programme of R&D led innovation and business development to within the Liverpool City Region. Operating out of a hub at the
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offered by St George’s, University of London. Please quote reference: 712-25-R Closing date: Sunday 31st August 2025 Interview date: TBC
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curation tools (e.g. Tableau, Trifacta, Alteryx) and of statistical software packages (e.g. Stata, SPSS, SAS or R) for data summaries and exploration. Applications for this vacancy should be made online and