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University of Veterinary Medicine Hannover • | Hannover, Niedersachsen | Germany | about 3 hours ago
-supervisors) per PhD student University of Veterinary Medicine Hannover University location Activate map To activate the map, click on the "Show map" button. We would like to point out that data will be
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” group, we work on digitizing building data and making it usable for automated applications and optimizations. To this end, we have developed a web app that uses an AI-based pipeline (computer vision, LLMs
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investigation of their invariants. Applications to other areas, such as mathematical physics and, more recently, big data and neural networks, have also been considered. The group has many international
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the life sciences and related disciplines (e.g. biomedical sciences, biology, biochemistry, physics, chemistry, psychology, computer sciences, engineering) Acceptance by an authorised academic supervisor
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, (bio)informatics, and multimodal data analysis. The research group focusses on the mechanisms of Hypothalamic-Pituitary-Gonadal (HGP) axis regulation that governs human reproduction. The group
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to data preparation and ultimately quantification. You will oversee the research PACS at the NCT and be the main contact person for questions about imaging processing, analysis, and archiving. Your Profile
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and fire tests Data evaluation, interpretation, and scientific discussion of results Documentation, reporting, and presentation of results at scientific conferences and publication of results in
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use of machine learning methods to process complex data sets. The focus is on techniques such as ultrasound, radar, computed tomography, acoustic emission analysis, and infrared thermography. Industry
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from computational engineering and computer simulation (such as the finite element method and constitutive materials models) to represent and exploit relationships along the composition-process-structure
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development and digitalization in order to find innovative solutions As part of your thesis, you will set up a data pipeline to prepare the data for modern AI methods—this is how you will shape digitalization