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Field
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(required) Knowledge of quantum computing or quantum algorithms (advantageous but not essential) Strong analytical skills, curiosity for interdisciplinary research, and the ability to collaborate effectively
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or quantum algorithms (advantageous but not essential) Strong analytical skills, curiosity for interdisciplinary research, and the ability to collaborate effectively with both academic and industry teams
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learning, and software programming Proficiency in Python and machine learning frameworks such as PyTorch (required) Knowledge of quantum computing or quantum algorithms (advantageous but not essential
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Statistics Netherlands. Such data presents distinctive methodological challenges: their scale and temporal character require fast algorithms and careful tailoring of commonly used network measures and
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workshops. Project description Many proposed quantum algorithms for optimization, including the quantum approximate optimization algorithm (QAOA) and variational quantum-circuit approaches are formulated and
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are also expected to present research findings at international conferences and workshops. Project description Many proposed quantum algorithms for optimization, including the quantum approximate
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conduct cutting-edge research on the interplay of theoretical computer science, mathematics, and quantum mechanics. Particular topics include classical and quantum aspects of: Sublinear algorithms and
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persist across participants, and retraining from scratch is often computationally infeasible at scale. In this project, you will develop the next generation of federated machine unlearning algorithms
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stability. Affinity with numerical simulation, algorithm development and scientific programming. Excellent communication skills in English. The following are considered assets: Knowledge of power electronics
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The successful PhD candidate will undertake research in the following areas: Develop deep learning algorithms for autonomous robotic navigation using dual-view image fusion and shadow-based visual perception