7,105 machine-learning "https:" "https:" "https:" "https:" "https:" "UCL" positions in United Kingdom
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experience. You will bring experience in: Computer vision and machine learning: developing, training, evaluating, and deploying computer vision models. Data visualisation and analytics: turning complex data
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equipment and facilities are functioning and well-maintained. 4. Student and Academic Support - Respond to student enquiries at reception and direct them to appropriate teams. - Provide support for learning
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, release kinetics under biologically relevant triggers. The successful candidate will work at the interface of organic synthesis, chemical biology, and machine learning to guide linker design and optimise
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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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will also be considered. References Korsós et al., ApJL 802 L21 (2015) https://iopscience.iop.org/article/10.1088/2041-8205/802/2/L21 Korsós, Chatterjee, Erdélyi, ApJ 857 103 (2018) https
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experience. You will bring experience in: Computer vision and machine learning: developing, training, evaluating, and deploying computer vision models. Data visualisation and analytics: turning complex data
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that developments are well understood and embedded. To apply electrical/electronic design skills to create a prototype including circuit analysis, computer aided design and complex simulation tools, e.g. MATLAB/SPICE
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are essential. Experience with a computer algebra system such as Mathematica is an advantage. We are also looking for good written and verbal communication skills. The Gravitation and Cosmology Group at Sheffield
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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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As well as the exciting opportunities this role presents we also offer some great benefits which can be found at https://www.ucl.ac.uk/work-at-ucl/reward-and-benefits . Our commitment to Equality