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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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Lehrstuhl für Angewandte und Computergestützte Mathematik | Aachen, Nordrhein Westfalen | Germany | about 17 hours 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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-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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, 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
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such as mathematical biology and computer science, as well as in verifying theoretical results by numerical work. For instance, there are a number of stochastic models of epidemics where the course of the