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Field
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, proteomics) Experience in developing computational tools for data analysis and visualization Laboratory experience: RNA extraction, mRNA purification, and sequencing. Specific training courses in
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identifying and analyzing patterns. Indeed, while the success of deep learning on visual data is undeniable, applications are often limited to the supervised learning scenario where the algorithm tries to infer
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function and develop science-based advice in fisheries management to prevent significant adverse impacts. This project will combine seafloor visual surveys, targeted sampling and AI-assisted image analyses
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lack suitable hardware for data collection in the wild, but our ability to process and understand the resulting data suffers from major constraints. Here, advances in AI will be crucial, for instance by
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funded by a major research project from the Novo Nordisk Foundation (NNF). The successful applicants would become part of the Data Science & Statistics section at the department. The successful candidate
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Job Description If you are ambitious and seeking to contribute to developing novel chemistry for a sustainable future using advanced visualization methods, then a possibility is right here for you
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projects. Familiar with text or image data processing, machine learning, or data visualization tools. Long-term interest in pursuing a Ph.D. in a business-related field. Compensation and Benefits Competitive
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for computer, lab, and fieldwork costs necessary for you to conduct your research. There is also a conference budget of £2,000 and individual Training Budget of £1,000 for specialist training Project Aims and
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7 Nov 2025 Job Information Organisation/Company Agency for Management of University and Research Grants (AGAUR) Research Field Mathematics Computer science Researcher Profile First Stage Researcher
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development for multi-omics data integration (genomics, transcriptomics, proteomics, metabolomics, lipidomics), statistical evaluation and visualization in the Lipidomics Informatics for Life Science network in