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Field
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of quantum algorithms for hybrid quantum simulators. Applicants should have a PhD in Physics, Chemistry, Computer Science, or a closely related field. To apply, a CV, a brief statement of research interests
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12 Dec 2025 Job Information Organisation/Company University of Amsterdam (UvA) Research Field Computer science Mathematics » Algebra Mathematics » Algorithms Mathematics » Discrete mathematics
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At the Faculty of Engineering and Science, Department of Materials and Production one or more Postdoc positions in the area of Optimization and Algorithm Design are open for appointment from April
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Postdoctoral Research Associate- AI/ML Accelerated Theory Modeling & Simulation for Microelectronics
Requisition Id 15685 Overview: The Center for Nanophase Materials Sciences (CNMS) is seeking a Postdoctoral Research Associate to support research directed towards developing novel AI/ML algorithms
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methodologies in brain diseases. The candidate will work on developing advanced new algorithms, testing and validation, and applications in these data modalities. The candidate will have the opportunity to work
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georeferenced data on pest outbreaks. The Scholar will use these data in collaboration with computer scientists to develop machine learning algorithms for the detection and management of biotic stress. The crops
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, probabalistic algorithms Noam Lifshitz Extremal combinatorics, additive combinatorics, analysis of boolean functions Elon Lindenstrauss Homogeneous dynamics, ergodic theory, number theory, additive
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of this project for a one-year period (100% full-time commitment) to make a significant contribution to the implementation of machine learning (ML) algorithms. The postdoc is expected to have proven experience in
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Experience1 - 4 Additional Information Eligibility criteria DFT with periodic boundary conditions applied to materials; development and implementation of codes or algorithms for materials modelling, ideally in
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between various imaging modalities and multi-omics during aging and development. • Implementing computationally intensive algorithms on high-performance computational clusters