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seeking applicants for a full-time postdoctoral scholar position in Computational Immunology and Genomics. The successful candidate will develop and apply computational, statistical, and machine-learning
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computations emerge from cortex-wide neural dynamics across species. The PDRA will contribute primarily to developing and analysing Cortically-Embedded Recurrent Neural Networks (CERNNs) that simulate large
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Deadline 16 Oct 2026 - 21:59 (UTC) Country Netherlands Type of Contract Temporary Job Status Not Applicable Hours Per Week 36.0 Is the job funded through the EU Research Framework Programme? Not funded by a
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:59 (UTC) Country France Type of Contract Temporary Job Status Full-time Hours Per Week 35 Offer Starting Date 10 Oct 2026 Is the job funded through the EU Research Framework Programme? Horizon Europe
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surrogate models, physics-informed neural networks, uncertainty quantification, or digital-twin development. High-performance computing and parallel numerical workflows. Terms of Appointment This is a full
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-resolution imaging to altimetry. In TU Delft, we are openning a 2-year postdoctoral researcher position to advance this promising field. The position is part of NL-RIA 2.0, the Dutch network on small
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on computational many-body techniques, particularly Density Matrix Renormalization Group, Tensor Network, Exact Diagonalization and Monte Carlo simulations are strongly encouraged to apply. To apply, candidates
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National Energy Technology Laboratory (NETL) | Morgantown, West Virginia | United States | about 12 hours ago
the early 2000s. Program Goals The Professional Internship Program is designed to introduce undergraduate students and recent Bachelor's graduates to the challenges of conducting energy research, and enable
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safety, vulnerable road users, and rural and Tribal transportation contexts. The postdoctoral researcher will integrate research involving human participants, behavioral analysis, and computational methods
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flows, flow matching, neural ODEs as well as graph neural networks. Looking forward, the aim is to develop new mathematical and computational paradigms that can deepen our scientific understanding of deep