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the development of fast and scalable algorithms for many-component systems, and of coarse-grained models that can be analyzed and simulated. Strong applicants with backgrounds in applied and computational
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and/or scientific computation, scientific software and algorithm development, data analysis and inference, and image analysis Ability to do original and outstanding research in computational biology
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& Other Requirements Demonstrated abilities in mathematical modeling, analysis and/or scientific computation, scientific software and algorithm development, data analysis and inference, and image analysis
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, analysis and/or scientific computation, scientific software and algorithm development, data analysis and inference, and image analysis Ability to do original and outstanding research in computational biology
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progression once in post to £48,149 Grade: 7 Full Time, Fixed Term contract up to March 2028 Closing date: 13th August 2025 Background This research project aims to establish the theoretical and algorithmic
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. Interest in clinical algorithm development and dexterity with biostatistical coding in R or Python is a plus. The primary goal of this aspect of the CH CARE Study is to combine serially obtained somatic and
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algorithms, clinical decision support systems, and population health management platforms. Evaluate emerging technologies in clinical informatics and provide strategic recommendations for their adoption within
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procedures and scheduling - Conducting scientific workshops on topic selection and format development - Developing innovative, interdisciplinary research formats - Supervising students and visiting scientists
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progression once in post to £48,149 Grade: 7 Full Time, Fixed Term contract up to August 2027 Closing date: 4th August 2025 First round interview scheduled: 15th August 2025 Final round interview scheduled
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. To prioritise tasks within the agreed work schedule to ensure that projects are delivered in a timely fashion. To suggest and contribute to the development of research techniques and methods in collaboration with