367 machine-learning-"https:" "https:" "https:" "https:" "https:" positions in United Kingdom
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Field
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and Responsibilities 1. Responsibility for the supervision of the PowerPlay conditioning suite, (19 Platforms, Technogym Resistance machines, Kettlebells, powerbags, climbing frame and other equipment
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manufacturing sectors. Applicants should have a good background in mechanical, energy, or related engineering disciplines, with knowledge of thermal-fluid sciences, and be familiar with or willing to learn
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analysis (Excel, R, Python, Prism etc). D4 Knowledge of applying artificial intelligence and/or machine learning approaches to biological image analysis or data interpretation. Experience Essential E1
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‑of‑the‑art computational featurisation with experimental reaction‑kinetics data to build a machine‑learning platform capable of predicting catalyst performance. This is an exciting, highly collaborative
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and data processing skills: experience of programming in one or more languages (e.g. R, C/C++, Python, Matlab). Practical experience of algorithm development and implementation of machine learning
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collaborations and perform cross-species comparisons. We use machine learning techniques for neural data analysis and computational modelling with a special interest in biologically-inspired deep learning and AI
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between the brain signals of different subjects. The aim of this project is developing new adaptive and machine learning algorithms to successfully decode brain signals across subjects. The prospective
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modelling, multimodal neuro-imaging and physics-informed machine learning to improve assessment of glioblastoma treatment response. The candidate will also be expected to contribute to the formulation and
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website areas. Without these cookies, the website would not be able to work properly. Service: Cloudflare Purpose: Pending Privacy policy: https://www.cloudflare.com/privacypolicy/ Expiry: Session Name
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electrophysiology data obtained through collaborations and perform cross-species comparisons. We use machine learning techniques for neural data analysis and computational modelling with a special interest in