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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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, 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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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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. 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
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organization for more than 12 months in the three years imme-diately prior to the recruitment date. Compulsory national service and/or short stays such as holidays are not considered. Selection process The
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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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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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any specific questions about the position, kindly contact Prof. Dr. Marco Thines at marco.thines(at)senckenberg.de For data protection information on the processing of personal data as part of
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unrelated to their own. They attend practical courses in novel technologies (live imaging, genomics, proteomics, etc.) and soft skills courses (scientific writing, presentation skills, intellectual property
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Description Reliable monitoring and control of water systems is essential to protect water resources, ensure hygienic standards, and enable sustainable infrastructure operation. As challenges evolve