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markers. Develop machine learning models capable of predicting Category 1 emergencies based on real-time audio features extracted from calls. Work iteratively with YAS researchers to test and refine
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spatial transcriptomics and imaging genomics projects, integrating bulk and single-cell RNA-seq datasets, and applying advanced statistical and machine-learning methods (AI/ML) to extract novel biological
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the design and delivery of transformative CPD, modular programmes, and professional learning pathways that directly respond to evolving workforce needs in health, education, sport, and beyond. Aligned
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both to those with a research background and to those with legal practice or teaching and learning experience who will be able to contribute and lead on our co-curricular offering to students. Those
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pedagogy and practical knowledge, we enable our students and staff to experience the joy of learning, teaching, research and innovation, and apply their knowledge for the benefit of others. UWS is officially
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, and you will join the research group led by Prof. Christa Cuchiero to work at the intersection of Mathematical Finance, Stochastic Analysis and Machine Learning. The research areas cover a wide range of
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to scientific questions and must be able to rapidly acquire skills in new programming languages, libraries and technologies. Any prior experience working with frontend/backend web development, machine learning
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web technologies Experience in teaching bioinformatics Previous experience with AI and/or machine learning approaches Interest in reproductive health and/or development of clinical tools and algorithms
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About the role We are looking for a Research Scientist (Medical) to join our team delivering the EMBRACE study, an innovative research project led by Professor Josip Car. EMBRACE is a visionary
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), disability, marital status, sexual orientation, or military status. POSITION RESPONSIBILITIES The CECS faculty members will be responsible for three primary responsibilities: Teaching: Develop and instruct