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Several PhD positions (f/m/d) in International Research Training Group (iRTG) limits2vision Full PhD
topics that focus on the interplay between genetics, metabolism, and information processing. Specifically, the projects in the limits2vision programme aim to systematically unravel the mechanisms
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resource-efficiency requirements. This collaborative doctoral project brings together the Institute of Advanced Simulation – Materials Data Science and Informatics (IAS-9) and the Institute of Energy
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resource-efficiency requirements. This collaborative doctoral project brings together the Institute of Advanced Simulation – Materials Data Science and Informatics (IAS-9) and the Institute of Energy
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experimentation (IMD-3: Institute of Energy Materials and Devices – Photovoltaics) and high-performance computation (IET-3: Institute of Energy Technologies – Theory and Computation) towards the overarching aim
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– from the modeling of material behavior to the development of the material to the finished component. PhD Position in Machine Learning and Computer Simulation Reference code: 50145735_2 – 2025/WD 1
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with five partners. The focus of the doctoral program is the analysis of the spatial and temporal variability of decontamination efficiency in different soil materials on a flow cell scale. The results
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profound knowledge in computational and theoretical physics/chemistry. Capability of team work is essential. Skills in high-performance computing, materials chemistry, theoretical chemistry, molecular
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processes that produce energy and raw materials. The Department of Radiation Research on Biological Systems is looking for a PhD Student (f/m/d) to investigate the impact of ionizing radiation on mammalian
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. Your profile A Master’s (or Bachelor’s) degree in chemistry, materials science, or related field. Desired expertise: Electrochemistry, scanning probe techniques (AFM, STM, SECM) Additional experience in
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material (LTM) to provide long-term delivery of biopharmaceuticals for chemoprevention of chronic inflammation and carcinogenesis in the female genital tract. We focus on the use of 3-dimensional organotypic