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methods including machine learning methods to integrate genomics, transcriptomics and epigenomics data set to uncover genomic-epigenomic interactions and cancer evolution trajectories. The tasks will
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network engineering and angiogenesis 3). Applications of machine learning in cell and tissue engineering Candidates should have demonstrated publication records in cardiac and vascular engineering or
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results. Preferred Qualifications: Experience with generative AI deep learning and active involvement in data science and machine learning projects. Experience in neural network architecture, cloud
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history analysis and possibly also with machine learning. Another specific example is statistical software development, e.g. implementing tools and algorithms for working with causal discovery
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Join the forefront of groundbreaking research at the Beckman Research Institute of City of Hope , where we're changing lives and making a real difference in the fight against cancer, diabetes, and
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vocalisation patterns, images and behavioural indicators using machine learning tools. Cleaning, organising, and maintaining accurate records of all datasets associated with the research. Training of artificial
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from broilers. Analysing vocalisation patterns, images and behavioural indicators using machine learning tools. Cleaning, organising, and maintaining accurate records of all datasets associated with
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from broilers. Analysing vocalisation patterns, images and behavioural indicators using machine learning tools. Cleaning, organising, and maintaining accurate records of all datasets associated with
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testing, numerical modelling, and machine learning (ML) aided design approach will be adopted, utilising the respective expertise in Brazil (testing and wind tower design experience) and the UK (modelling
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postdoctoral Research Fellow (RF) position for one year with a possible extension for one more year. The starting date is November or December 2025. This post will advance the application of Machine Learning (ML