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PhD Scholarship in Adaptive Soft-Mist Inhaler Technology Job No.: 697546 Location: Clayton campus (Laboratory for Turbulence Research in Aerospace and Combustion (LTRAC)) Employment type: Full-time
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How can generative AI (GenAI) support Health Technology Assessment (HTA) of medicines? HTA bodies and technology developers are already experimenting with GenAI, but systematic evidence on where it
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an interdisciplinary project in the field of biology, tissue engineering, material science, and chemistry. Complementary to experimental work, the candidate will work on computational models to understand and predict
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Northeastern University London Fully Funded PhD Scholarship in Computer Science Reliable Quantum Statistics Northeastern University London > Computing, Mathematics, Engineering & Natural Sciences
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PhD Position in Generative AI in Health Technology Assessment (HTA) Faculty: Faculty of Science Department: Department of Pharmaceutical Sciences Hours per week: 36 to 40 Application deadline
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well as supervising master’s student projects within the master’s program in Energy Engineering. Qualifications You are qualified to apply for this position if you have an MSc or equivalent degree in Environment and
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-year Computational Project to use state-of-the-art Computational Chemistry techniques to understand structure-property relationships in thermal batteries, and to derive new understanding to guide design
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The future of software engineering is AI-native. Our team works to shape that future through pioneering research, practical engineering methods, and close collaboration with government, industry
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offer visa sponsorship for this role. Candidate requirements The successful candidate should have a good honours degree or a master’s degree in computer science, mathematics, civil engineering, mechanical
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are excited to work across disciplines and contribute to cutting-edge research at the interface of biology, chemistry, imaging, computation, and AI. Molecular Perturbations: Chemistry Engineering Biology