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Field
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modeling approaches. Develop, optimize, and maintain code and algorithms supporting predictive models. Combine computational algorithms with laboratory automation to enable self-driving laboratories and
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structure-preserving algorithms to generative modeling in AI. It will build upon the work done at IMF and SINTEF in this field. We will consider techniques like flow matching, and use ideas from optimal
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6 research clause. 2. Strong research experience in tensor networks, pauli propagation, quantum information, quantum algorithms, many-body physics, quantum simulation, computational physics or a
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potential progression once in post to £48,822 Grade: 7 Full Time, Fixed Term contract up to June 2028 Closing date: 17th September 2026 Background This role is part of the philanthropically funded programme
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support. The PhD candidate will develop and validate a hybrid methodology that combines established stochastic optimization with AI-based learning. The aim is not only to develop new algorithms, but also to
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; computational biology, bioinformatics or digital health; interpretable, robust or trustworthy AI; fairness-aware machine learning and algorithmic-bias analysis. The ideal candidate will demonstrate the potential
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of the elderly to space robotics. We are now looking for a postdoctoral researcher in quantum algorithms and optimization for Life Science applications. Are you as excited about quantum technology and its future
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Primary Duties & Responsibilities: Assists research studies with implementation of: existing algorithms and computer software for analyzing omics-based data sets [high-throughput, massively parallel genomic
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Summary The Department of Neurosurgery at the University at Buffalo seeks a full-time Postdoctoral Associate to support an interdisciplinary research program focused on image-guided navigation
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The Novo Nordisk Foundation Quantum Computing Programme (NQCP) at the Niels Bohr Institute in Copenhagen is looking for a meta optics expert to work on scalable neutral atom quantum computing from 1