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large amounts of complex data. They should provide evidence of potential for research and publication at the highest level, as well as a strong interest in engagement in empirically-grounded, quantitative
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the Medical Research Council. The Research Fellow will be using Natural Language Processing (NLP) methods, with a special focus on generative Large Language Models (LLMs), to interrogate a very large sample of
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WellthLab . The WellthLab's mission is to explore how interactive technologies can support people to feel, how they feel, better. Our philosophy is to design for a minimal data dose, and our main methodology
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CRISPR and other molecular genetic technologies to study infection dynamics. Analyse Complex Data: Apply computational and biostatistical methods to analyse large data. Collaborate Across Disciplines: Work
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properties of vibrational sources in large built-up structures, such as cars or airplanes. We will incorporate data from measurements and implement these sources into large-scale structure-borne sound
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/Fellow who can deliver the research whilst helping to manage project delivery. Candidates must hold an appropriate engineering or science degree level qualification and a PhD (or be about to obtain a PhD
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. To be successful in this role, you will have: A PhD (or nearing completion) in Physics (e.g. atomic physics, quantum optics, or solid-state physics) or closely related fields. Proven expertise in
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. You will also be responsible for implementing the model as a computer simulation and analysing it within a health-economics framework using standard computational techniques. You will also be
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skills and attributes for success: A PhD (or equivalent) in a relevant subject (Artificial Intelligence, or Data Science), with training or skills relevant to the project (Python-based data collection and
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About Us PharosAI offers a unique cancer AI product development ecosystem for drug discovery and clinical applications, democratising access to data, AI models, technologies, and capabilities