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Stuttgart airport via train lines and busses. It is known for its vibrant student life, cultural events, historical architecture and beautiful nature. The University seeks to raise the number of women in
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THE FIELDS OF: ATMOSPHERIC PHYSICS AND CHEMISTRY, ELECTROCHEMISTRY, ELECTROCHEMICAL ENERGY STORAGE (BATTERIES), ELECTRONICS, ELECTRICAL AND MECHANICAL ENGINEERING, HIGH-PERFORMANCE COMPUTING, MACHINE LEARNING
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nano-computed tomography, and scanning electron microscopy design and implement deep learning models to enhance resolution of large field-of-view imaging techniques integrate imaging data across
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PhD student (m/f/d) in the field of chemistry, chemical engineering, materials science or comparable
polyoxometalates Using suitable characterization methods to characterize the synthesized materials Using machine learning tools to tune the synthesis parameters in a feedback loop and enhance the properties
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assessment of chemical plants using HAZOP analysis Use of process modeling and simulation to enhance quantitative assessments Use of machine learning to support HAZOP discussions with the aim of obtaining a
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using X-ray and neutron scattering. One of the research areas is the development of machine learning (ML) based approaches to efficient analysis of the vast data amounts generated in the scattering
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the international Stuttgart airport via train lines and busses. It is known for its vibrant student life, cultural events, historical architecture and beautiful nature. The University seeks to raise the
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Stuttgart airport via train lines and busses. It is known for its vibrant student life, cultural events, historical architecture and beautiful nature. The University seeks to raise the number of women in
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of molecular and biological matter using X-ray and neutron scattering. One of the research areas is the development of machine learning (ML) based approaches to efficient analysis of the vast data amounts
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EU MSCA doctoral (PhD) position in Materials Engineering with focus on computational optimization of
to these qualifications. We require good oral and written skills in English. Additional qualifications: It is advantageous to have experience in one or more of the following areas: Machine Learning & Bayesian optimization