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research in digital sociology, ethnographic methods, and human-AI relationships. Your responsibilities will include: Conduct research, analysis, and publication targeting diverse audiences, including
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to contribute to novel encapsulation methods, optimize formulations, and characterize systems using advanced analytical techniques. You will collaborate with interdisciplinary teams to explore applications in
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on innovative projects advancing economic evaluation methods and policy The Opportunity Join our collaborative team as a Research Fellow in health economics and contribute to high-impact projects that inform
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peer-reviewed research publications. Excellent written and verbal communication skills, with the ability to produce clear, concise reports, research papers, and deliver formal and informal presentations
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in primary care research and an understanding of qualitative and quantitative research methods with a focus on health policy, digital health and/or quality use of medicines will be an advantage. About
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skilled researcher who brings: A PhD in Computational Neuroscience, Physics, Engineering, Computer Science, Psychology, or a related discipline Strong quantitative and programming skills (preferably MATLAB
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that includes biologists, medicinal chemists, and structural biologists to design and execute computational drug discovery projects. Applicants will need to hold a PhD in an appropriate discipline (ie
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candidate will have: A PhD qualification in medicinal or organic chemistry Experience in the synthesis of small molecules An understanding of pharmacology and/or drug development will be highly regarded
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environment. Experience in qualitative and quantitative research methods (e.g. focus groups, semi-structured interview) and associated analysis. Publications in peer-reviewed journals. Demonstrated ability
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optimisation models (e.g. using MiniZinc) and solving methods to demonstrate the transformative potential of optimisation technology in this application. Collaboration will be key, as you’ll join the DSAI’s