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demands. To break this bottleneck and cut simulation time by orders of magnitude, you will design and implement surrogate models that learn the behavior of full‑physics codes using modern machine‑learning
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15, 2025. For more information on the PhD program and the application process, please visit our website at www.geschkult.fu-berlin.de/hcs . If you have any questions about the call for applications
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the field Requirements: MSc in Physics, Mathematical/Theoretical Biology, or Chemical Engineering Very good written and spoken English skills Curiosity about the mechanisms underlying life and disease Self
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of globalization. Application Process: Candidates are selected in a two-step process by GSGAS and DAAD. Candidates are nominated during the selection process by the GSGAS to the DAAD. The final decision is made by
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years. In total there will be about 25 doctoral researchers who will conduct soft matter research combining fields as diverse as physical chemistry, spectroscopy, synthetic organic and polymeric synthesis
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Science, Physics, Materials Engineering, Nuclear Engineering, or a related field Solid knowledge of microstructural and mechanical characterization of materials, ideally with experience in TEM/STEM and
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. Accordingly, we welcome all applicants who would like to commit themselves, their achievements and productivity to the success of the whole institution. At the Faculty of Physics,Institute of Applied Physics
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of neural hydrology, where hydrological models are directly learned from data via machine learning (e.g., LSTM neural networks, [1]). Initially, these models ignored all physical background knowledge and did
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Biology, Biochemistry, Life Science, (Bio-)Physics, Chemistry, Computer Science, or related fields. Visit the IMPRS-LM website for more information about the program, the application process , and the
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of membrane electrode assembly for fuel cell Your profile Completed university studies (Master/Diploma) in the field of Mechanical Engineering, Process Engineering, Chemistry, Physics or related field Very good