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influenced by environmental experience. We are still far from a complete understanding of how these processes work. About the role We are seeking a motivated research assistant to join our team working
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@cam.ac.uk ) for queries related to the application process. Please quote reference NM47363 on your application and in any correspondence about this vacancy. The University actively supports equality
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entitled Diagnostic Discard: Exploration of material values in point-of-care diagnostic sector, funded by an APEX award from the Royal Society. This research project aims to generate critical conversations
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the impacts of the characteristics in different scales of the investigated processes on their overall techno-economic-environmental-energy efficiency. This is an interdisciplinary project requiring expertise in
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the recruitment process. Apply now and join a community committed to transforming society and the economy. Explore "Our Exceptional People , Our Values and Behaviours " page to learn more about our commitments and
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by the automated system until 10pm of the closing date. Any queries regarding the application process may be addressed to jobs@lshtm.ac.uk . Please quote reference EPH-DPH-2025-13. The supporting
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the “ground plan” of the brain is genetically determined, it is also influenced by environmental experience. We are still far from a complete understanding of how these processes work. About the role We
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. Applicant should have experience in time-series processing with appropriate AI models (recurrent networks, LSTM) and experience in 2D convolutional neural networks in Python. This is a part-time position (5
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to translate social, behavioural, and legal insights on hate crime/speech and misinformation into practical requirements for digital tools and training frameworks. Collate, process and present research data in
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the development and implementation of machine learning (ML), computer vision (CV), large language models (LLMs), and vision-language models (VLM) to automate data extraction and interpretation for productivity