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Field
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integration of energy systems data and models and apply data science methods to make them usable for transparent energy systems analyses. The collected data will be processed and semantically enriched using
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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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/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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research, supported by the renowned Max Planck Institute for Meteorology (MPI-M) and the Universität Hamburg (UHH). Why Join IMPRS-ESM? Interdisciplinary focus: We address the processes and dynamics
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relevant subject area Profound interest in transformation research Specific Requirements For more information regarding the program, the required documents and the application and admissions process, please
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. Enhancers, DNA elements with binding sites for transcription factors, play a key role in this process. Recently, it has become clear that enhancer activity requires the formation of sub-micrometer-sized
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: Experience in organic semiconductor processing and characterization High degree of independence, motivation and reliability Excellent ability to cooperate and work in a team Curiosity and fast learning are a
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domains are e.g., signal-/image processing, artificial intelligence and machine learning. Tasks: research and development in designing and programming field programmable gate arrays (FPGAs) for accelerating
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Our research focuses on extracting and isolating bio-based polymers such as cellulose and proteins fromrenewable feedstocks and waste streams. We aim to develop sustainable processes to convert
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the testing of newly devel-oped materials and the use of machine learning methods to process complex data sets. The focus is on techniques such as ultrasound, radar, computed tomography, acoustic emission