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to be performed on site. About You To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD in relevant subject area such as
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PhD in clinical epidemiology Has demonstrated expertise in working with registry data or other types of electronic healthcare databases. Previous high-quality publications Experience with project
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, on the technologies and workflows of the Biosolutions Development Pipeline. Teaching will align with your area of expertise. We further expect you to contribute to supervising student projects at the BSc, MSc, and PhD
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://phoenixmed.arizona.edu/cts/phd Location Greater Phoenix Area Address Phoenix, AZ USA Position Highlights The Radovick Lab at UArizona Phoenix has an opening for a post-doctoral researcher to study the role
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enriched metadata and documentation, controls for sensitive data, and building trust between institutions and Indigenous communities. The post doctoral scholar will join the team in developing a
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Full-Time, Fixed-Term (36 months) Salary is £41,945 to £48,003 pro-rata per annum (including London Allowance) We are looking for a highly motivated early career researcher with a PhD (or near
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using these global wheat pathogens as a model system. There are two post-doctoral research positions and one PhD studentship associated with Dr. McDonald’s UKRI Future Leader Fellowship, which will
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academic and non-technical publications. Communicate insights and findings with practitioners and stakeholders. Qualifications: We are looking for candidates with: A master’s degree and a PhD (or submission
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together industry, government, and the international community. This Hub is a crucial vector for the delivery of the National Quantum Strategy, enhancing UK prosperity and national security. This position
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Post Doctoral Researcher in Human-Centered AI for Software Engineering, Department of Electrical ...
of responsible and human-centered AI in software engineering (AI4SE). The AI4SE1DK project addresses urgent industry needs by investigating how Large Language Models can be effectively, ethically, and sustainably