244 data "https:" "https:" "https:" "https:" "UCL" Postdoctoral positions at Nature Careers
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The Vanderhaeghen Lab ( https://pvdhlab.org ; @vanderhaeghenp2.bsky.social) at the VIB-KU Leuven Center for Brain & Disease Research ( http://cbd.sites.vib.be ) is seeking a creative postdoctoral
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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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Project Description: Drug toxicity and resistance are the leading causes of therapeutic failures. The Chen Lab (https://www.stjude.org/research/labs/chen-lab-taosheng.html) studies: (1) the chemical
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A postdoc position is available in the lab of Dr. Taosheng Chen Drug toxicity and resistance are the leading causes of therapeutic failures. The Chen Lab ( https://www.stjude.org/research/labs/chen
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for recruited talents. Meet the requirements of relevant documents of the National Postdoctoral Management Committee, as detailed in http://www.chinapostdoctor.org.cn; Should have outstanding scientific research
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Postdoctoral Researcher Position in Ecological Knowledge-Guided Machine Learning at Aarhus Univer...
on “Integrating AI into Aquatic Ecosystem Models to Decode Ecological Complexity” funded by Villum Fonden. Within that project, the focus is on exploring novel ways to infer information from environmental data
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basin by quantifying the relationship between the dynamics of soil moisture connectivity and streamflow response. This study will integrate satellite-, ground-, and simulation-based data on the landscape
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underlying greenhouse gas fluxes Support training of young researchers in using biogeochemical observations and data analysis Write and contribute to international peer-reviewed publications Contribute
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innovative strategies to improve human health. HT is composed of five Centers: Health Data Science, Genomics, Computational Biology, Neurogenomics and Structural Biology. The Centers work together to enable
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at unprecedented resolution. The core innovation of your work will be integrating this data to train deep learning models that predict chromatin accessibility and gene expression patterns. These models will