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if an adequately stamped envelope is attached. If you apply, we collect and process your personal data in accordance with Articles 5 and 6 of the EU GDPR only for the processing of your application and for purposes
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harsh process conditions Investigation of the underlying deactivation mechanisms Development of regeneration strategies for deactivated catalysts Coordination with internal and external project partners
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(biology, biochemistry, chemistry, physics, bioinformatics, mathematics, or related fields). The academic performance should be excellent (rank at or near top of class). Doctoral candidates register with
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(master’s or equivalent) with excellent grades in the field of data science, material science, mechanical engineering, physics, or similar, with a strong machine learning or simulation background In-depth
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) Optimization and tuning of catalyst layer performance and durability: morphology, hydrophobicity, porosity Product analysis and analytical chemistry; investigation of side reactions System process analysis and
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are very important. Our research focus is on the coastal and marginal seas, especially the Baltic Sea. The staff of the five departments: Physical Oceanography, Marine Chemistry, Biological Oceanography
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degree / double degree programme Yes Description/content The statistical physics of complex systems is a very broad field ranging from the study of quantum phenomena to the conformational behaviour
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computational physics and probability theory and great interest in interdisciplinary research and collaboration with experimental groups. You hold (or expect to complete soon) a Masters or equivalent degree in
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The Bonn-Cologne Graduate School of Physics and Astronomy (BCGS) is a joint programme of graduate studies between the Universities of Bonn and Cologne. It was funded through the Excellence Initiative from
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equivalent) in computer science, data science, applied mathematics, physics, materials science, or a related field Prior experience in computer vision, deep learning, or signal processing; familiarity with