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) GRADE 7, £39,355 - £45,413 pa Fixed-term Ref: 095593 A Research Fellow position is available in the group of Professor M. J. Rosseinsky OBE FRS to work in a team of computer scientists and materials
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CRISPR and other molecular genetic technologies to study infection dynamics. Analyse Complex Data: Apply computational and biostatistical methods to analyse large data. Collaborate Across Disciplines: Work
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large amounts of complex data. They should provide evidence of potential for research and publication at the highest level, as well as a strong interest in engagement in empirically-grounded, quantitative
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largest city in Midwest US with an affordable cost of living. Milwaukee, situated on the shore of beautiful Lake Michigan, enjoys all four seasons and provides all the charms of a big city. In addition
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robotics that works in the small scale and delivers large motion and deformation as the final goal. Key Responsibilities: The Research Fellow will work on a cross-disciplinary project at the intersection
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. Proficiency in deploying and managing wildlife camera‑trap networks and processing large image datasets. Experience developing and validating machine‑learning and AI models for image object detection and
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Requirements: PhD degree in physics Demonstrated experience in computer sciences Demonstrated experience in handling large size database Knowledgeable in theoretical physics, and at minima basic knowledge in
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Stanford. Examples of Current Projects Improving contract drafting practices by identifying litigation-triggering language Large-scale evaluation of AI tutors for law Development of methodology and best
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researcher with a PhD in Soil Science or Agricultural Science, possessing strong field research skills, data analysis expertise, and the ability to work collaboratively in an international, multidisciplinary
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psychological or clinical mental health sciences Teaching is integral to the work of the institute. We have a large portfolio of masters level and undergraduate teaching in global health. We have recently