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Field
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The Pluskal lab at IOCB Prague combines cutting-edge experimental (e.g., LC-MS, metabolomics, RNA-seq) and computational (e.g., bioinformatics, molecular networking, machine learning) approaches
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such as transformers, self-supervised learning, multimodal learning, generative models, graph neural networks, or foundation models. Experience with structural and/or functional brain modeling. Familiarity
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the goal of improving human health. Aligned with Rutgers University–New Brunswick and collaborating university wide, RBHS includes eight schools, a behavioral health network, and five centers and institutes
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Contributions Contribute to the continued development and maintenance of UXarray, including analysis operators, grid subsetting, remapping, and plotting capabilities for unstructured mesh data. Help develop and
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cover all aspects of the drug discovery process. The Postdoctoral Research Associate will receive professional development training, gain valuable networking experience, and collaborate with scientists in
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National Aeronautics and Space Administration (NASA) | Hampton, Virginia | United States | 19 days ago
Network (TOLNet). The selectee will research innovative analysis methods for synthesizing complex datasets, identifying sources of bias in remote sensing measurements, and contributing to the scientific
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or physics Generative AI/transformers, agentic AI, deep learning Computational genomics, network modeling, spatiotemporal/functional data analysis, time-series Strong programming in R and Python; best
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both method development and empirical research, the latter in collaboration with scientists from other departments. We offer a research environment with access to national and international networks. Our
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, and multiomics experiments that probe islet cell transcriptional networks. Drive data acquisition and analysis (e.g., RNA-seq, ChIP-seq, functional assays) and co-author publications. Disseminate
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its calibration via simulation and observational data analysis. The project has industry partners and will offer opportunities to work with public and private data sets. We are looking for someone with