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computational methods and contributing to the design of validation strategies through molecular and immunological assays. Your tasks and responsibilities: Drive the analysis of clinical and preclinical datasets
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Analysis of Electronic Structure Methods for Molecules and Materials. About the PhD Project: The goal of the project is the development of a posteriori error estimates for state-of-the-art numerical methods
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to apply computational methods, numerical simulations, and modeling in a practical research environment. In doing so, you will gain insights into thermodynamic and chemical processes in energetic systems
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. These triggers can be injected into the training dataset or directly into the model weights. These are then called poisoned. Due to parameter-efficient fine-tuning methods, backdoor attacks on large language
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-aware learning methods with domain decomposition techniques, enabling parallel training and efficient GPU-supported implementation. Your tasks: Development of physics-aware ML models for 3D blood-flow
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Gorlitz, Sachsen | Germany | 20 days ago
Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Area of research: Scientific / postdoctoral posts Starting date
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Your Job: This PhD project bridges between classical analytical methods and modern AI based techniques to analyse spike train recordings to advance our understanding of neural population coding
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engineering, computer science or a comparable subject You have good experience in Python You have basic knowledge of the theory and methods in machine learning Good language skills in German and/or English What
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to select, adapt, and apply design methods to open research and design questions Application of speculative design methods — futuring, design fiction, scenario building Facilitation & teaching — designing and
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7 Apr 2026 Job Information Organisation/Company Technische Universität Dortmund Department Department of Physics Research Field Physics Computer science Geosciences Mathematics Engineering