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- Stratification of Therapies through Adaptive Responses (CRC-STARS) is a CRUK strategic programme. Through multiomic and spatial biology exploration of temporally distinct samples from clinical trials and advanced
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out research in cosmic microwave background physics or one or more of the following fields: cosmology, galaxy formation, numerical astrophysics, survey science tied to the up and coming large scale
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PhD qualified in mathematical, physical or computational sciences Experience in using machine learning methods to analyse datasets Experience in statistical or scientific programming (ideally R and/or
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) Country United Kingdom Application Deadline 24 Sep 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme
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initiative, funded through the Gulf Strategy Fund, that will strengthen collaboration between the UK and Saudi Arabia in sustainable waste management, biochar technology, and behavioural change policy
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Postdoctoral Researcher in Machine Learning of Isomerization in Porous Molecular Framework Materials
broad range of applications. Computational chemistry and Machine Learning increasingly underlies MFM research to search or screen candidate MFMs prior to synthesis. A major drawback when applying
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strategic programme. Through multiomic and spatial biology exploration of temporally distinct samples from clinical trials and advanced biological models, an international consortium of leading colorectal
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Aalto University is where science and art meet technology and business. We shape a sustainable future by making research breakthroughs in and across our disciplines, sparking the game changers
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robots are therefore required. One of the goals of this project is to commercialise. You must have a strong computer science background and have experience in one or more of the following areas: Computer
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Grade 6 Research Assistant Essential Criteria 1. A Master’s level degree (or equivalent experience) in Electrical Engineering, Energy Systems, Control Engineering, Computer Science, Artificial