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impact with your research? Do you enjoy technical projects involving optics, electronics, and software? Are you eager to join a startup and grow it to a successful company with real world impact? The
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Caltech is a world-renowned science and engineering institute that marshals some of the world's brightest minds and most innovative tools to address fundamental scientific questions. We thrive
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Fully Funded PhD Studentship (Home Fees) Project Title: Developing Fair and Robust Cancer Risk Prediction Models Using Health Data Supervisor: Professor Angela Wood (Professor of Biostatistics and
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experience in a related job discipline. Certifications: --- Preferred Qualification Education: Bachelor’s degree in the sciences, engineering, or technology. Master’s degree or PhD a plus. Experience: Working
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Mechanical Engineering (BEng) programme, and the Master’s and PhD in Engineering postgraduate programmes. The candidate will be expected to teach, perform research, supervise students and participate in
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specialisations. As part of our strategic growth plan, we welcome candidates with expertise in Engineering, Computer Science or a related field. Some of your skills and experience will include: A PhD in Engineering
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technology-enabled products, platforms and services that help researchers to uncover new ideas and share their discoveries, health professionals to stay at the forefront of medical science, and educators
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will have the opportunity to work closely with our engineers and other research staff. Projects may include software package creation and maintenance, data engineering, development and/or implementation
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discipline. A Master’s degree or PhD is preferred. Experience: Minimum of five years of related experience. Must have previous experience managing projects. Experience must include a minimum of one-year in a lead
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science, and research software engineering, a. This position offers the opportunity to work in a world-renowned research institute alongside faculty, software engineers, PhD students, and PostDocs