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organizes a scientific program. The goal is not only to establish international collaboration but also to develop strong synergies between laboratories, researchers, and PhD students within the mathematical
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promote job satisfaction, professional development, and participation for all employees. The research group is now recruiting a full-time PhD student (100%), with a start date of 1st October 2026
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-metallic materials by an electron beam Main ideas of the proposed dissertation topic: The aim is to create a geometric, mathematical, and simulation model for the ANSYS program. The geometric model will be
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aspects of the PhD, namely on the one hand conducting experiments and behavioural analyses, and on the other hand developing and testing complex mathematical models that capture the dynamics of the networks
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network dynamics, including (i) modeling questions in mathematical neuroscience, with the aim of motivating and testing the theoretical framework, and (ii) inference of network structure from time-series
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, comparable flexible models for longitudinal data are still lacking. Moreover, it remains unclear how to assess whether simpler latent variable models adequately fit these complex datasets. During this PhD
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Degree or equivalent Skills/Qualifications Essential Strong background in applied mathematics, mathematical biology, or computational modelling. Experience with partial differential equations (PDEs) and
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Gorlitz, Sachsen | Germany | about 13 hours ago
a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Area of research: PHD Thesis Part-Time Suitability: The position is suitable for part-time
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mathematical programming to enhance the efficiency and resilience of industrial supply chains. Developing modeling and optimization tools to assess the sustainability of industrial supply chains and create
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models and Bayesian approaches to tackle complex, real-world data? Join this PhD project to build dynamic models and study cognitive variability using ecological momentary assessment (EMA). Join us We are