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data (transcriptomics, proteomics and metabolomics), from a large collection of well-characterized samples to identify novel biomarker and causal and druggable targets. We are seeking a motivated
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NSF-Simons Foundation-funded National AI Institute for the Sky | Chicago, Illinois | United States | about 12 hours ago
, United States of America [map ] Subject Areas: Computer Science and Electrical and Computer Engineering Astronomy / Astronomy and Astrophysics Artificial Intelligence, Machine Learning and Autonomy Artificial Intelligence
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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qualification in Genetics, Bioinformatics, Computer science, Data science, Statistical Genomics or a related discipline involving the interrogation of ‘omics’ datasets. Hands-on experience with large-scale human
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, as well as advanced knowledge of language and sociopolitical contexts in Southern Europe. For more information about the project, visit: https://portal.research.lu.se/en/projects/gender-struggles-in
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healthcare applications. We use large real-world complex datasets, including data extracted from electronic health records and medical images, for applications pertaining to patient diagnostics and prognostics
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18 Oct 2025 Job Information Organisation/Company Lunds universitet Department Lund University, Faculty of Science, Department of Biology Research Field Biological sciences Researcher Profile
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) to large-scale biomedical datasets. These models will be used to work with different types of data from the healthcare and biological domains, including genomic profiles, and clinical event sequences
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outputs in lidar technology and real-time wind-field reconstruction. Expert in wind turbine response analysis. HAWC2 user expert. Demonstrated expertise in data analysis and signal processing with large
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FieldPhysicsYears of Research ExperienceNone Additional Information Eligibility criteria We are looking for a colleague with a PhD in particle physics. Experience with machine learning and/or experience with