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) at the Science of Learning in Education Centre . Project Title: Science of learning-based interventions to improve literacy, numeracy, and well-being in students: an umbrella review Project Information: The main
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Employment 1.0 FTE Required background Research University Degree Organizational unit Faculty of Social Sciences Application deadline 10 August 2025 Apply now Are you passionate about the brain and
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The Program Marketing Officer provides leadership in the development and implementation of innovative, effective, and reliable marketing strategies to advance the reputation, priorities, and goals
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 22 hours ago
that enhance mental and physical well-being. Some of the key research initiatives include the Prostate Cancer Patient Empowerment Program (PC-PEP) (pcpep.org ), the Cancer Patient Empowerment Program
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About us: The post will be based in the Centre for Mental Health Policy and Evaluation (CMHPE) at King’s College London. The Centre is home to a team of expert implementation and improvement science
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://pubs.acs.org/doi/10.1021/acs.nanolett.1c04604 . Our project - sponsored by the UK’s Engineering and Physical Sciences Research Council – aims to improve the efficacy, efficiency and reproducibility of focused
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reviewing pertinent literatures in bioinformatics and computational biology. Please note that this is a one-year fixed term full-time position eligible for benefits. Education: Bachelor’s Degree in
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. for biocatalysis). This project is based in the Centre for Computational Chemistry, School of Chemistry, University of Bristol. The School of Chemistry is ranked first in the UK in the latest Research Excellence
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based at the School of Electronics and Computer Science, Southampton. The project is researching, developing and evaluating decentralised algorithms, meta-information data structures and indexing
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: Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related field. 2+ years of experience with data science or machine learning in a professional setting. Experience working with real-world