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for developing reliable predictive models and ensuring safe and robust component design. This position is part of the CastAl project, which aims to identify the mechanisms governing stochastic fracture in HPDC
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), Computational Biology (stochastic and analytical models of gene expression), Signal Processing (machine learning, image and signal processing), Biophysics, Microbiology and Single-cell Biology (flow cytometry
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-relevant properties such as thermal stability, controlled stochasticity, switching dynamics and compatibility with neuromorphic architectures. The goal is to build and validate an automated multiscale
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Lehrstuhl für Angewandte und Computergestützte Mathematik | Aachen, Nordrhein Westfalen | Germany | 1 day ago
interactions, particle merging, and sensitivity analysis methods for stochastic particle-based simulations. Practical applications of the research topic include engineering problems in areas of micro
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, stochastic thermodynamics, and quantum physics. The research will focus on three main directions: Thermodynamic computing: developing physics-inspired alternative models of computation that aim to reduce
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in Financial Mathematics. We seek candidates with expertise in areas such as: Stochastic calculus and stochastic differential equations Mathematical finance and derivative pricing Risk management and
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the physical origin of forces in driven-dissipative quantum superfluids. Group Website : https://photonlattices.eu/ Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UMR8523-CLEHAI-001/Default.aspx
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applications in mathematics (combinatorics, algebras, numerical analysis, stochastic analysis…) and physics (renormalisation theory, string theory…). Recently, some new structures on rooted trees have appear in
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Fund (DTIF). "Quantum Computing for Power and Energy Systems", aims to establish tangible prospects for leveraging Quantum Computing to address the modern day computational and stochastic challenges
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; - Experience with data processing techniques. Desirable knowledge of methods such as Neighborhood Components Analysis (NCA), Locally Linear Embedding (LLE), and t-distributed Stochastic Neighbor Embedding (t-SNE