268 affective-computing-"https:"-"https:"-"https:"-"UCL" Postdoctoral positions in United Kingdom
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- VIN UNIVERSITY
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. Our University Strategy aims to deliver critical mass of world-leading research that will have a positive impact on global, national and regional challenges and which benefits culture, society, health
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an ongoing programme focused on metabolic profiling and target validation to support TB drug discovery. The role will involve the application of liquid chromatography–mass spectrometry (LC-MS
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methods and extend the research portfolio. To deal with problems that may affect the achievement of research objectives and deadlines by discussing with the Principal Investigator or Grant-holder and
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its Impact on Pupil Outcomes. Working collaboratively within a research team, they will synthesise evidence to develop a robust, research-informed conceptual framework of school and classroom climate
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tuberculosis . The post is full-time and available immediately. The post holder will be responsible for carrying out research within a defined area of an ongoing programme focused on metabolic profiling and
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Trust-funded project on Plasma-Assisted Combustion (PAC) Modelling of Ammonia, in collaboration with the York Plasma Institute. The successful candidate will develop and apply advanced computational
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of neuro-symbolic Computational Logic and Argumentation. The position offers an exciting opportunity for conducting internationally leading and impactful research in AI. The Research Assistant/Associate will
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innovative problem-solving. The position requires maintaining a high standard of research, presenting findings at leading international conferences, and publishing in high-impact journals. About You The
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collaborative programme bringing together a team of leading experts in advanced electron microscopy imaging, first-principles modelling, metal halide semiconductor thin-film and device fabrication, and
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application of AI and machine learning models to interpret complex X-ray datasets, and the integration of experimental and computational insights to generate actionable knowledge that advances sustainable metal