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Field
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particular emphasis on integrating satellite LiDAR and UAV data with field observations. Applying statistical modelling, automated machine learning approaches, and artificial intelligence for the analysis and
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Artificial Mouth’. This project is led by Dr Helen Chappell within the School of Food Science and Nutrition at the University of Leeds. This position will be based full-time in Leeds but will work closely with
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working at the intersection of uterine health, gynecologic oncology, computational biology, clinical informatics, and artificial intelligence. The lab develops and applies innovative data science and AI
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communication skills. Preferred Genome-wide association studies (GWAS) Statistical genetics and polygenic scores Single-cell RNA-seq, proteomics, or other multi-omics analyses Artificial intelligence and machine
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improve forensic science methodologies and explore and minimise harms on human health and public safety. About The Role The Research Assistant will support the work of the Preventable Deaths Tracker (https
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National Laboratory to accelerate materials discovery by integrating advanced 3D X-ray diffraction experiments, mechanistic modeling, and artificial intelligence. A powerful set of high-resolution 3D X-ray
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School graduates over a thousand students who are ready to take on great ambitions and challenges. For more details, please view: https://www.ntu.edu.sg/eee We are seeking a highly motivated Research
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Professor Ying Weng is seeking to recruit an Assistant Research Fellow in Artificial Intelligence (outsourced) to join the research project team in School of Computer Science at University
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visit: https://causalab.sph.harvard.edu/. This role is focused on pregnancy research: To evaluate the effects of treatments in pregnancy we emulate target trials using observational large healthcare
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September and December 2026. We seek an ambitious researcher with expertise in artificial intelligence, machine learning, or computational statistics, and a demonstrated interest in applications to human