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Field
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-doctoral position you will work on the development of membranes for resource recovery, particularly critical minerals and metals from liquid waste sources. You will have a PhD in Chemical Engineering
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, ideally at postgraduate or professional levels. A solid grounding in applied data science, including statistical methods, machine learning, and Programming. Experience delivering flexible, inclusive
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skills field, ideally at postgraduate or professional levels. - A solid grounding in applied data science, including statistical methods, machine learning, and Programming. - Experience delivering
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departments and external partners. About you You will hold a PhD or equivalent in a relevant field and bring substantial experience in developing complex AI or machine learning models, particularly using Python
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adaptability of wearable and medical devices, and safer human-machine interaction. Machine Learning (ML) is an emerging technology with significant potential in integrating and embodying soft robotics
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oscillations and BSM processes. This will involve taking a lead role in developing dedicated software frameworks, including the implementation of machine learning techniques. Ultimately, the software will be
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, Bayesian Statistics with a focus on nonparametric methods, Bayesian Computational Methods, Extreme Value Theory, Biostatistics, Probabilistic machine learning, Medical sciences and engineering applications
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substantial experience in developing complex AI or machine learning models, particularly using Python and associated libraries such as PyTorch, TensorFlow and Scikit-learn. Demonstrated expertise in version
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Algorithms Agile Programming Applied Machine Learning Computer Graphics Web Design and Programming Cloud Technologies Advanced Databases and Big Data Introduction to AI Natural Language Processing DevOps Data
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Computer Vision and Machine Learning Specialist KTP Associate £34,000 to £38,000 per annum plus training budget of up to £4,500. Department of Computer Science TrainFX Computer Vision and Machine