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. The postdoc here has the central role for adapting and developing vegetation and biodiversity models for the project, building upon the framework of the LPJ-GUESS Dynamic Global Vegetation Model. The models
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optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. Become a part of our team and join us on our journey of research and innovation! Be
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Fraunhofer IGD and the FBN team to safeguard an efficient collaboration and communication between behavioural biologists and computer scientists. The project is part of the KI-Tierwohl project (https://ki
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Support programs equity Fields of action Networks for equity Contact Team Equity News and publications Back Press releases attempto online Newsletter Uni Tübingen aktuell University of Tübingen magazine
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) analysis • Research, development and implementation of deep-learning approaches • Network architecture search • Real-time image analysis • Establishing multi modal (video, thermography, acoustic, RFID
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methods, enabling precise midIR spectral measurements from blood rich skin layers. Your work will bridge measurement physics and biomarker estimation: you will transform raw optoacoustic signals into robust
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science, and health-economic evaluation. We collaborate closely with other leading academic institutions (e.g., Harvard, UCSF, Johns Hopkins), global research networks (R2D2, Smart4TB), global health
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Support programs equity Fields of action Networks for equity Contact Team Equity News and publications Back Press releases attempto online Newsletter Uni Tübingen aktuell University of Tübingen magazine
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the legitimacy of algorithmic governance in the context of migration policy. The project team collects quantitative and qualitative data to study how people use heuristics to judge legitimacy of algorithmic
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twin of sperm motility, and utilize it to develop a separation method. Your tasks will include: Performing computer simulations and matching them to experimental data Very close collaboration with