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, fined tuned for zooming in on machine spatial reasoning, is within the scope of this project. Developing efficient algorithms for converting computer simulations of a system in a complex environment (e.g
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interactions, nuclear structure and reactions, electroweak structure, and lepton-nucleus scattering. The candidate will contribute to advancing statistical and computational algorithms to extend the capabilities
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unprecedented power to uncover cell-type-specific and cell-state-specific genetic mechanisms underlying human biology and disease. The Postdoc joining this program will have the opportunity to: Drive high-impact
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limited to artificial intelligence, computing theory (algorithms, complexity), data science, statistics, discrete mathematics (graph theory, combinatorics), game theory, machine learning, optimization
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to focus their efforts on the education of students and the performance of life-changing research across a wide range of disciplines including medicine, engineering, physical sciences, energy, computer
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contact, as identified by AFRL through recent past efforts. This includes the implementation of relevant algorithms and solvers for distributed GPU computing within the JAX Python library. Qualifications
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contact, as identified by AFRL through recent past efforts. This includes the implementation of relevant algorithms and solvers for distributed GPU computing within the JAX Python library. Qualifications
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engineering, electrical engineering, computer science, biostatistics, or a related field. Experience in working with an MRI scanner. Experience in developing state-of-the-art Machine Learning algorithms
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on circular economy research Experience in working in the genetic algorithm and artificial neural networks is preferred. Experience in manufacturing process modeling of advanced manufacturing technologies
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Full-time Hours Per Week 35 Offer Starting Date 30 Jan 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number Aviso n.º 1742/2026/2 | OE202601