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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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. The current teaching materials are focused on JavaScript for the Introduction to Programming module, and R for the Data Visualisation module. The department also supports student learning in Python. The initial
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. multivariable Cox regression, logistic regression) using R or equivalent software, and publishing findings on the relationship between polyphenol-rich diets and cardio-metabolic health in cancer survivors. About
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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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to existing postgraduate students. Applicants must hold an offer of study at The University of Manchester before applying for this funding. RADMA's support is focused on the field of ‘R&D management' and we
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will have experience in conducting scientific experiments independently, writing papers, presenting work and grant writing. Basic statistics and programming skills (either R, python, Perl, C
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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