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Field
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supervise junior researchers. Uphold best practice in ethics, data management, and research governance. About You To demonstrate at least one of the following : A PhD (or near completion) in computer science
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applications as Research Assistant Position (f/m/d) (Ref. 25/10) in the Research Group “Numerical Mathematics and Scientific Computing“ (Head: Prof. Dr. V. John) starting September 1, 2025. The position is
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Postdoctoral Associate AI and MRI Required Qualifications: (as evidenced by an attached resume) Doctoral Degree (or foreign equivalent) in Electrical and Computer Engineering, Computational Science
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(or near completion) in computer science, machine learning, mathematics, computational biology, or a related field Strong publication record in top-tier venues (e.g., NeurIPS, ICML, ICLR, JMLR, AAAI
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; representation from three continents). Our lab’s strength lies in integrating multiple disciplines: Single-cell microfluidics Quantitative (image) analysis Mathematical modelling Microbiology Molecular biology We
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graduate students, as well as recent graduates, from Minority Serving Institutions (MSIs) pursuing degrees in science, engineering, technology, mathematics, and other disciplines that that align with NNSA's
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networks. The research will employ mathematical modelling and computer simulation to identify synaptic plasticity rules which enable effective learning in large and deep networks and is consistent with
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or Computer Science obtained within the last 5 years. Applications are open immediately and will be reviewed on a rolling basis until the position is filled. The position becomes vacant on September 1, 2025, and is
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21 Aug 2025 Job Information Organisation/Company Leibniz Institute for Neurobiology Department Hippocampal Plasticity and Memory Research Field Neurosciences » Neurobiology Biological sciences
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, evolutionary biology, computer science, physics, applied mathematics, or engineering. Our research integrates mathematical modeling, machine learning, and quantitative experiments to understand and control