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processes to address global challenges, from mitigating the impacts of natural hazards and sustaining our habitat amid global change to responsibly managing georesources. We are part of the Helmholtz
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, these models often use simplified, linearized assumptions, limiting their capacity to capture the nonlinear complexities inherent in real-world hydrological processes. Recently, there has also been the branch
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architectures and principles from Bayesian neural networks and biological sequence models, including large DNA and protein language models. The project also aims to develop a prototype federated learning
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Experience in processing remote-sensing information and machine learning is an asset Capacity for interdisciplinary teamwork and excellent communication and presentation skills Ability to communicate in
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, using techniques such as: High-dimensional data mining Tensor decomposition Causal inference Statistical process modeling Machine Learning Applications include public transport, private vehicles, traffic
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of excellence for four core research areas: Advanced Imaging of Matter (photon and nanosciences), Climate, Climatic Change, and Society (CLICCS) (climate research), Understanding Written Artefacts (manuscript
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| Methods Workshops | Transferable Skills Topics addressed in the program’s structured curriculum range from molecular and cellular neuroscience, behavioral assessments, electrophysiology, brain imaging
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environment, including: DFG Research Training Groups (RTG), International Max Planck Research Schools (IMPRS), etc. The complete list of units A list of classes for each semester A timeline of the PhD process
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/or short stays such as holidays are not considered. Selection process The selection and recruitment process will be in accordance with the European Charter and Code of Conduct for the Recruitment
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. The letters will then be added to your application in our system and forwarded to the appropriate persons. Please ensure that you only use .pdf files, Word documents and images in .jpg format. Please also