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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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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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this project, you will develop innovative quantum algorithms for the accurate calculation of materials properties. You will combine methods from quantum informatics and solid-state physics to describe
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for the accurate calculation of materials properties. You will combine methods from quantum informatics and solid-state physics to describe the complex electronic and ionic processes in battery materials. New
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comprehensive master`s thesis Your Profile: Currently enrolled in a Master`s program in Chemistry, Physics, Materials Science, Process Engineering, or a comparable field of study Interest in the research field
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conduct experiments using synchrotron-based X-ray methods perform experiments to characterize nanoparticles encapsulated in protein cages using X-ray methods such as SAXS or total X-ray scattering combine
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. The future junior professor is expected to address key questions in the area of numerical methods for partial differential equations. Participation in the research activities of the Faculty of Natural Sciences
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an active student scene and a diverse cultural life. Within the framework of the GENAI-X project, we are looking for a highly motivated PhD Candidate in AI Methods for Hydro-Climatic Extremes (m/f/d) in full
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further develop standardised methods for examining irradiated samples after irradiation to quantify radiation damage. Supervision of the manufacture and assembly of equipment inside and outside hot cells
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utilizing chemical analysis methods for a period of 36 months. Remuneration is paid in accordance with the Tarifvertrag für den öffentlichen Dienst der Länder (TV-L, Public Sector Collective Agreement