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Field
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Natural Language Processing, Applied Machine Learning, Neural Networks and Deep Learning as well as Machine Learning for AI and Data Science and Bayesian Theory and Data Analysis. We are looking
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or computer modelling of behaviour. You will be highly motivated, collaborative and an excellent communicator (especially with respect to writing), and have a demonstrable desire to learn new skills
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September 2025 Reference: 0505-25 The Benedetto lab is looking for an enthusiastic bioinformatician or computer scientist to join a wider collaborative project, studying how the gut-brain axis mediates gut
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candidates with experience in psychoacoustic listening tests and machine/deep learning. A PhD in a relevant area is desirable. Depending on experience, the role may additionally involve shaping strategic
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Hangsterfer's Laboratories) EPSRC Centre for Doctoral Training in Machining, Assembly, and Digital Engineering for Manufacturing PhD Research Project Directly Funded Students Worldwide Dr Thawhid Khan, Prof
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and antibody design, which are challenging for current machine learning approaches. You will become an early member of a friendly, multi-disciplinary team. The project will involve significant coding
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activities as required. A PhD in statistics, machine learning, mathematical modelling or other relevant quantitative subject. Experience in infectious disease mathematical modelling. Experience with
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), electrophysiology (EEG), interventional (TMS, tDCS) and neurocomputational (machine learning, reinforcement learning) approaches to understand the network dynamics that support learning and brain plasticity
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qualitative data using NVivo and carry out quantitative analysis using Jamovi, or be willing to learn. You will value lived experience and be committed to producing research that is inclusive, ethical, and
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machine learning, agent-based modelling and multi-criteria decision analysis. Excellent scientific writing, team work, organisational skills and communication skills with a range of stakeholders are