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Field
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mathematics. PI: Dr. Antonio Bordoy Fernández Funding body: - Institution: Universitat de les Illes Balears (UIB) / University of the Balearic Islands (UIB) Where to apply Website https://ppi.uib.cat/inici
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Balears (UIB) Where to apply Website https://ppi.uib.cat/inici/ Requirements Research FieldAstronomy » AstrophysicsEducation LevelPhD or equivalent Skills/Qualifications A PhD in Physics, Astrophysics
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, multisensory integration, or visual perception) using data analysis and machine learning techniques. Implement XR prototypes and applications to validate the developed models. Contribute to the publication
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Experience with single-cell and/or high-throughput sequencing analyses Experience with data analysis and machine learning Use of version control software and GitHub Experience working with Linux environment
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within budget constraints and continuously seeking to optimize resource use. Service-Oriented: Highly adaptable, detail-oriented, and capable of multi-tasking, with a commitment to ongoing learning and
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of databases containing data and signals, i.e., audio, images, and biological. Design, implementation, and testing of deep learning and AI algorithms for processing audio, image and biological signals and data
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are: - Management and preprocessing of databases containing data and signals, i.e., audio, images, biomedical and genetic. - Design, implementation, and testing of deep learning and AI algorithms for processing
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regulatory documentation. Prepare abstracts, scientific manuscripts and presentations for national and international meetings. Where to apply Website https://jobs.vhir.org/jobs/8167765-clinical-researcher
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. Collaborate with members of the research team in maintaining documentation, protocols, and research workflows. Where to apply Website https://apply.interfolio.com/190159 Requirements Research FieldLanguage
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, Environmental Sciences, Chemical Engineering, Data Science, Geology, or related disciplines. Specific Requirements Programming skills interest in machine learning techniques. Ability to work in an organised