430 computer-programmer-"https:"-"U"-"UCL" "https:" "https:" "https:" "https:" "INESC TEC" Postdoctoral positions in United Kingdom
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are now looking for a postdoctoral researcher to support the Micro and Quantum Systems (MQS) research group in fundamental and applied research in quantum computing at Aalto University’s Electronics and
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Computer Science at Queen Mary University of London, working with Professor Rachel Humphris and Dr Dimitrios Kollias. The successful applicant will undertake computational research, including algorithmic
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completion of, a relevant PhD/DPhil together with relevant experience. You will have the ability to lead and report an original research programme, as shown by a documented research track record, including
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Programme. • Our on-site nursery is rated Outstanding by Ofsted, and you can access holiday camps for children aged 5-16. • Our family-friendly policies, including maternity and adoption leave, are
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Humanities, Computer Science, or a related discipline with a focus on digital heritage applications. Experience in building RAG pipelines using Google AI Studio Pro, or similar LLM orchestration frameworks
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our multidisciplinary team working at the interface of epidemiology, data science, and public health policy. The successful candidate will develop and apply advanced mathematical and computational
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. You will coordinate with another postdoctoral research associate, focused on computational modelling, and publish your research findings to achieve project goals. You will contribute to knowledge
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About the Role We are seeking to recruit a motivated Postdoctoral Research Assoicate with a PhD degree and interest in bioinformatics or computational biology. The candidate will develop methods
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To apply for this role please submit the following document(s): CV Supporting Statement (Your Supporting Statement should be no more than 1000 words and should outline how your skills and experience meet the essential and desirable criteria listed above) You can view your progress and...
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The Role The role focuses on advancing research in explainable and trustworthy machine learning, with a particular emphasis on mechanistic interpretability and its application to healthcare data. The successful candidate will contribute to understanding how modern machine learning models...