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: Genomics, precision medicine, bioengineering, and health data science AI and Digital: Machine learning, robotics, digital health, and cybersecurity Defence and Advanced Manufacturing: Secure systems
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hours across a standard week or at least one full day per week during term time. You will bring an excellent understanding of confidentiality, data protection and professional boundaries. In addition, you
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team, customer service skills across any industry could well be an advantage. The department uses multiple computer systems to deliver its services therefore experience using multiple systems is
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supervision. They will be confident using data to inform decision making and experienced in resolving problems across complex systems and stakeholders. A background in international recruitment, university
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, biotechnology or a related field. Applications will be considered from candidates who are working towards or nearing completion of a relevant PhD qualification. Please contact Vladimir for more information
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microscopy, X-ray diffraction), high-temperature mechanical testing. You should have a strong motivation to conduct interdisciplinary research at the interface of materials science, data science, and
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support for at least 10 hours across a standard week or at least one full day per week during term time. You will bring an excellent understanding of confidentiality, data protection and professional
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. Knowledge of qualitative data acquisition and analysis and a keen interest in further developing your skills would also be an advantage. You will be a skilled and sensitive listener and communicator, able
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, applied statistics, survey methodology and/or (online) data collection methods, and a commitment to excellence in research and education. (The post is also suitable for a research fellow/senior research
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social care research that improves people's health and wellbeing and promotes economic growth. We are also a major funder of applied health research in low and middle-income countries. Further information