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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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Postdoc position in method development in human statistical genetics, with a focus on classificat...
University. Dr Speed's research involves developing statistical methods for better analysing data from genome-wide association studies (GWAS), with a particular focus on improving our understanding of human
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Austrian Academy of Sciences, the Austrian Archaeological Institute OeAI | Austria | about 2 months ago
based in the research group “Historical Building Research” (Head G. Styhler-Aydın) of the Department of Historical Archaeology (see https://www.oeaw.ac.at/en/oeai/research/historical-archaeology
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the development of novel reconstruction methods that can concurrently estimate the sound speed and initial pressure distributions within tissue from PACT data. Reconstruction methods for ultrasound computed
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vision, animal welfare, and behavior. The position is aimed at a method-oriented researcher interested in developing and applying computer vision–based methods in real-world settings. The project is part
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retirement contributions that add to your bottom line. Total Compensation Calculator: http://www.cu.edu/node/153125 Equal Employment Opportunity Statement: The University of Colorado (CU) is an Equal
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manual gestures). The SyncoGest project (2025–2030) is an interdisciplinary project conducted jointly by computer scientists (Loria – University of Lorraine / Inria / CNRS), linguists (Praxiling – Paul
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of 3D+ structure, heterogeneity, and/or dynamics from scattering and/or microscopy data; (2) autonomous analysis and decision making for self-driving and/or human-in-the-loop experiments; (3) computer
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observations of greenhouse and ozone-depleting gases using models, measurements and inverse methods. The general goals are to determine emissions, transport rates and mechanisms, loss rates and mechanisms, and
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are in compliance with the necessary trainings (both at the lab and at the institutional level). Minimum Education and Experience: A PhD degree in Computer Science, Electrical/Computer Engineering, or a