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will work with existing FH patient cohort data sets from France, Portugal, Czech Republic, and Turkey, which will be expanded with multi-level multi-omics data, including genetic, transcriptomic
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Position Description: Every day, in ways both big and small, the Medical College of Wisconsin (MCW) is impacting lives for the better. MCW … changemaking for a healthier Wisconsin. In the role of a
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of the interventions, as they are team efforts carried out by a large team of scholars and curators. You will be primarily responsible for incorporating a critical heritage and museology perspective. You will assist in
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work on large-scale understanding of coastal wetlands - primarily mangrove forests and tidal marshes. This will include mapping and modelling of distribution, value, condition, and opportunities
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that connect animal health, data analysis, and human behavior. Design and carry out field studies, collecting and analyzing large data sets. Use and evaluate AI tools to support research and training. Create
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countries to increase opportunities for discovery. We and our partners aim to integrate state-of-art data science with various types of statistical methods to translate large medical data from benchwork
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Max Planck Institute for Extraterrestrial Physics, Garching | Garching an der Alz, Bayern | Germany | about 1 month 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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to self-organize into complex structures. Our approach is to develop sophisticated mathematical models – informed by state-of-the-art biological knowledge and experimental data – to understand
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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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learning, and data modeling techniques Preferred: Prior working experience with EHR data, machine learning, deep learning, imaging informatics, and large language models (LLM) is preferred. Prior working