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Field
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)medical sciences, mathematics/(bio)statistics, or a closely related field Highly desirable: prior hands-on experience in pharmacokinetic/pharmacodynamic modelling and statistical data analysis, software
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renewable energy use, energy security, and the reliable operation of hydro-dominated power systems. The project will focus on how AI can support advanced optimization models for hydropower and energy-system
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twins of construction sites and information management Mathematical models for infrastructure impact and infrastructure economics Eligibility You must meet at least one of the following: Bachelor's degree
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of AI models for the design and optimisation of integrated energy systems in public buildings. They will analyse heterogeneous datasets, create realistic what-if scenario analyses, and develop trustworthy
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Impact – From climate modelling and sustainable energy to advanced materials and biomedical systems, HetSys projects apply cutting‑edge computational and mathematical techniques to problems with global
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benchmark chemometric and physics-informed machine learning models to monitor, forecast, and ultimately control critical process parameters, implanting these models in advanced control frameworks to optimize
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» Modelling tools Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 15 Sep 2026 - 00:00 (Pacific/Saipan) Country Germany Type of Contract Temporary Job Status Full-time
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of neural networks, for reconstructing MR images directly from MR signals. By incorporating a physical model of the MR signal into the training of the INR network, we aim to compensate for the effects
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theory and non-standard logics, preferably within one of the two branches of the project: Modal Logic of Forcing Inner Models from Extended Logics These are active fields within set theory, with many
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candidates hold a Master’s degree in Informatics, Mathematics, or a related field, and possess strong expertise in linear algebra, GPU architectures, and programming in C++ and Python. This is a 100% TVL E13