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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Gorlitz, Sachsen | Germany | 2 months ago
implementation of advanced algorithms, including variational and optimization-based approaches # Investigation and adaptation of mathematical methods in hybrid classical–quantum computing contexts # Documentation
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mathematics Application deadline: February 23, 2026 Doctoral student in Geometric Hydrodynamics Application deadline: February 23, 2026 Doctoral student in discrete optimization and computational complexity
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over SEK 2.3 billion. We have more than 1,800 employees and nearly 21,600 students. We are looking for a Postdoctoral Researcher in Robotics and Artificial Intelligence (RAI) (https
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to guarantee optimal operational safety (reliability, maintainability, availability, security) in all circumstances. This requires the implementation of a vehicle health monitoring system (detection
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SPHERE You have a PhD degree in Artificial Intelligence, Computer Science, Applied Mathematics or in a related field You have at least 3 years of postdoctoral research experience or R&D experience in
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autonomous electric vehicles under disruptions. This collaborative project aims to develop a resilient, multimodal transport management strategy that leverages automation and communication to optimize
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lead a team focused on: • Hybrid quantum-classical algorithms and innovative computational paradigms • Quantum neuromorphic computing (QNC) and reservoir computing • Algorithm optimization for NISQ
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20 Feb 2026 Job Information Organisation/Company NORCE Norwegian Research Centre Department Energy Research Field Mathematics » Applied mathematics Researcher Profile First Stage Researcher (R1
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, and written communication skills evidenced by a publication record in the area of control theory, mathematical optimization, AI, or machine learning. Preferred Qualifications: Publication record in
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chemical biology and biotechnology, enabling the preparation of defined oligonucleotides for a wide range of research applications. This project focuses on the experimental development and optimization