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how they meet the following essential criteria: A PhD qualification. Extensive competence and experience in machine learning and data analytics, including modelling of medical equipment and industrial
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must have concluded a PhD in Computer Science, Data Science, Artificial Intelligence, Computer Engineering or related area (essential). • The candidate should have a background Data Science/Machine
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Intelligence, Computer Engineering or related area (essential). · The candidate should have a background Data Science/Machine learning with experience in Large Language models and/or conversational AI
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(essential). Advanced experience in GIS (essential). Appropriate experience (essential) in either (1) machine learning (fully-convolutional neural networks) applied to remotely sensed data, either/or (2
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mass cytometry. A bioinformatician, conversant with different machine learning and modelling of complex datasets requiring integration. S/he will curate, clean and analyse all data, developing
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colleagues from a number of disciplinary backgrounds including: Software Engineering, Human-Computer Interaction, Interaction Design, Applied Psychology, Sociotechnical Systems, Information Systems, and Public
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research project will employ sensing technologies, largescale Information Communications Technologies (ICT) datasets, artificial intelligence, machine learning and statistical methods to quantify urban
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following areas will be desirable: polymer/lipid synthesis, organic synthesis, RNA delivery, data-driven material design (Quality by design, design of experiments, machine learning), controlled radical