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Field
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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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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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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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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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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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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
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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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an ambitious researcher with expertise in artificial intelligence, machine learning, or computational statistics, and a demonstrated interest in applications to human genetics and/or population health. We
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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