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semiconductor properties to the composition of lead-free double perovskites Your Profile: Master’s degree in theoretical or computational physics, chemistry, materials science, or a similar field Familiarity with
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Programme funded by the German Academic Exchange Service (DAAD). Successful applicants will receive a PhD scholarship from the DAAD of 1.300 €/month (including health and liability insurance, as
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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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background in biophysics and soft matter Cutting-edge computational facilities, including the on-site top European supercomputers Excellent scientific and technical infrastructure Opportunity to participate in
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single cell sequencing, chromatin and pan-omics analyses are available for innovative transdisciplinary cancer research. Your academic qualifications: Completed scientific university studies in natural
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learning, image analysis, and advanced computing to study relationships between structure and function. Keywords: Human Brain, 3D Atlas, Deep Learning, Temporal Lobe, Brain Function Entry Requirements
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international work environment Scientific excellence and extensive professional networking opportunities A structured PhD program with a comprehensive range of continuing education and networking opportunities
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researchers from 9 nations works interdisciplinary in the fields of computational materials science, theoretical and computational chemistry/physics and physics of low-dimensional materials. It maintains strong
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sciences (including meteorology and oceanography), ecology, mathematics, computer science, engineering, economics, or political science. Students who are still working on their Master's thesis are also
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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