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complex health and social care challenges, particularly in the management of long-term conditions. We combine AI and traditional epidemiology with qualitative methods to develop impactful, real-world
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position will require laboratory experience to work on current projects using scientific methods. In addition, you will identify procedures, preparing tenders and work scopes to meet client needs and
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security. It has a strong reputation in the application of cutting-edge research methods, ranging from political ethnography to experimental social science. The role We are seeking to further strengthen
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practitioners. The team includes research advisors with expertise in public health and applied health research, medical statistics, clinical trials, epidemiology, qualitative research, mixed methods, health
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experiments (e.g. native/Hdx-MS, SPR or FRET). Qualifications: Proficiency in at least one computer language as in C++ and/or Python is required. This project also uses Javascript, REACT, and GTK. Experience in
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through to resolution What you’ll bring A genuine interest in technology and how it works A logical, methodical approach to problem solving The ability to stay calm and focused under pressure Strong
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, using your troubleshooting skills to see them through to resolution What you’ll bring A genuine interest in technology and how it works A logical, methodical approach to problem solving The ability
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teaching methods to our growing portfolio of spin-out companies and enabling the development of products and services of benefit to our region, business and the global economy. Research and Innovation
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in distributed database systems, information retrieval, computer networking or semantic web. The post does not involve working outside of the UK for over 30 days in a row or over 90 days in a year. For
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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