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methods. Bioinformatic Analysis (Advanced): Proficiency in large-scale omics data analysis and relevant bioinformatics tools alongside integrative multi-omics pipelines. Programming (Expert): Extensive R
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conditions. Implementing a multimodal approach for large-scale data analysis using CPU and GPU Solutions at the UM6P Data Center. Innovate and improve image analysis algorithms for plant trait quantification
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/ ), the BMBF-funded consortium PerMiCCion (www.permiccion.de ), and is an active participant in the EU-funded consortia FOODGUARD (www.foodguard-project.eu/ ) and NUTRIMMUNE, the Cluster of Excellence “Balance
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, Behavior, and Information research cluster is a group of 5 research faculty whose research focuses on gaining psychologically-grounded insights from large-scale naturally occurring and experimentally
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for interacting with colleagues and stakeholders. Department Specifics Develop various machine learning and data mining models including convolutional neural networks (CNNs), Transformers, large language models
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foundations of data science and AI. The selected candidate will be part of the Foundations Cluster of CIDSAI and will collaborate closely with Professor Saurabh Ray, Professor Keith Ross, and Professor Pierre
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. Computing time is available on our local cluster and on the Vienna Scientific Cluster (VSC), a supercomputer shared by Austria's major universities. We focus on the development of methods to solve the many
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Max Planck Institute for Extraterrestrial Physics, Garching | Garching an der Alz, Bayern | Germany | 2 months ago
) in Garching, led by Prof. K. Nandra. MPE is a world-leading institute in space- and ground-based experimental astrophysics, with leading roles in a number of large astronomical projects. The high
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 22 hours ago
, designing tools for data interpretation and visualization, and/or training foundation models and large language models (LLMs) for diverse biomedical applications. Dr. Li has published over 70 peer-reviewed
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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