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infrastructure that enables secure, large-scale data integration across Europe. The postdoc will focus on two pillars: Multi-omics data integration: developing robust pipelines and frameworks for preprocessing
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-performance computing (HPC) environments and large-scale numerical codes for space plasmas; proficiency with scientific programming (e.g., Fortran/C/C++/Python) and Linux is an advantage Experience with data
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analysis and visualization of typically large and complex information spaces, for example in biochemistry, humanities, or software engineering. Our vision is to attack the big data challenge by a combination
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Centre (HDSC) focuses on systematically generating, mobilising, and harvesting “big data” to create a dynamic and agnostic collection of information enabling a better understanding of the clinical
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behavioral plasticity across generations. More information about the research group is provided at https://abentz.wixsite.com/bentzlab . The position is funded by an active NSF grant. Applicants are expected
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include experience with fiber sensing, machine learning tools, and big data workflows. Instructions To apply, candidates will submit materials via Interfolio, comprising (1) a letter of interest describing
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in glaciology, Geodesy, Earth sciences, remote sensing, or a related field. Strong skills in data analysis, programming, and handling large geospatial datasets are essential. Experience with satellite
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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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working on generative information retrieval; Experimental skills: You have strong programming skills and experience with deep learning frameworks (e.g., PyTorch, TensorFlow) and have run large-scale
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Nature Careers | Cape Winelands District Municipality, Western Cape | South Africa | about 14 hours ago
Post-doctoral fellowship (PDF) description: This post-doctoral fellowship (PDF) will harness the large amount of data generated from this site using various remote sensing systems as well as ground