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- NEW YORK UNIVERSITY ABU DHABI
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- VIB
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collaboration with our wet-lab team and collaborators, you identify and integrate validation data In collaboration with the VIB.AI ML unit, you manage a large codebase containing the harness, interpretation
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, and immersive technologies. Established in 2023 and expanded in 2025, the college provides STEM-designated undergraduate and master’s degrees, and a PhD. in Information. With nationally ranked programs
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The successful candidate will lead research in one or more areas such as: Large-scale Internet and Web measurements. LEO Satellites. Internet access and digital inequality in developing and underserved regions
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Science. Our research examines how artificial intelligence, online platforms, and the Web shape individuals, societies, and access to information. Recent themes include large-language-model safety and bias
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ethical, transparent, and reproducible research Methodological fit Applicants should bring deep expertise in at least one of the following. No candidate is expected to cover the full list: Large-scale data
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, experimental scientists and clinicians What we’re looking for PhD in bioinformatics, computational biology, or related field Experience in analyzing biological data, especially proteomics data Strong knowledge
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spatial transcriptomic data. A demonstrated interest in data visualization and large-scale data analysis is highly desirable. The ideal candidate will have a keen interest in understanding complex
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pangenomics and population diversity, with opportunities to contribute to similar analyses in other crop systems, including cotton. Required Minimum Qualifications: PhD in Plant Biology Experience conducting
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data or large data volumes in all information systems. We contribute methods and algorithms for machine learning, and data mining, including XAI, as well as for data access and query processing. Aarhus
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established and emerging bioinformatics, statistical modelling, and machine learning approaches to analyse large-scale datasets, including bulk and single-cell sequencing, gene expression arrays, proteomics