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interactions and damage mechanisms for linking with operating data Collaboration and networking with other departments at the research centre (cell development, stack construction, system and component
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Starrydata2). The work will include the implementation of machine learning models (neural networks, random forests, SISSO), generative approaches for predicting crystal structures, the use of machine learning
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in living adaptive networks Biophysics: High-resolution structural and mechanical studies of molecular motor proteins at the nanoscale Required Documents Required Documents CV Certificates Motivation
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semester Application deadline Will be announced on webpage: https://www.mgse.econ.uni-muenchen.de/application/index.html Tuition fees per semester in EUR None Combined Master's degree / PhD programme No
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more cost-efficient. Together, UESL and IMOS are seeking a motivated and qualified PhD candidate to advance the use of hierarchical graph neural networks for modeling multi-scale urban energy systems. By
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problem-based learning model. The department leverages its unique research infrastructure and lab facilities to conduct world-leading fundamental and applied research within communication, networks, control
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? No Offer Description INTEGRATE is an international, multidisciplinary Marie Sklodowska-Curie Doctoral Network funded by the European Commission under Horizon Europe (Grant agreement ID: 101226862
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Mobility (IAM), considering ecological, economic, technological, and sociological factors. The RTG's structured PhD program aims to train young researchers in highly automated, networked mobility, featuring
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advice and by building a social network in their new hometown. http://www.sdcn.se . Project description The position will be associated with a project on topological phases in moiré materials, focusing
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? Horizon Europe - MSCA Marie Curie Grant Agreement Number 101226734 Is the Job related to staff position within a Research Infrastructure? No Offer Description The Marie Skłodowska-Curie Doctoral Network