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collaboration provides access to exclusive biological materials and detailed process information, allowing the consortium to develop a deep understanding of the production process and to pioneer the creation
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required Expectations of qualifications PhD in Data Science, Deep Learning, Bioinformatics, Computer Science, Physics, Engineering, Bio-engineering, or equivalent Excellent track record in Computational
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Job Description If you have a keen interest in computer vision, machine learning, and deep learning, and their application in species identification and automated catch registration
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recent PhD graduate with a deep interest in this domain who can provide research support in terms of literature reviews, analyses, and join as an author on various projects. Advanced technical skills in
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-seq, single-cell RNA-seq, spatial gene expression, and whole-genome sequencing (with long reads) data. The candidate will get the opportunity to explore new analysis methods using deep learning
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Job Description If you have a keen interest in computer vision, machine learning, and deep learning, and their application in species identification and tracking to study animal responses to fishing
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Job Description If you have a keen interest in computer vision, machine learning, and deep learning, and their application in species identification and tracking to study animal responses to fishing
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types of primary data like own surveys and secondary data collected by third parties. The ideal candidate for the position will be a recent PhD graduate with a deep interest in this domain who can provide
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. drones and soil probes) Coding capacity (e.g. python) for deep learning and data fusion Teaching and supervision experience at the BSc and MSc level Interest and experience in developing competitive
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-modal perception Foundation models for robotics Robotics simulation and synthetic data generation Robot manipulation Deep learning-based planning Additionally, you should have good ability to present