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risk factors. The main objective is to design and apply machine learning and deep learning methods to understand and investigate the functional behavior of gender-specific cancers. The work will include
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. To access this tool and learn more about the total value of your benefits, please click on the following link: https://resources.uta.edu/hr/services/records/compensation-tools.php CBC Requirement It is the
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 2 months ago
lives. The Theis Lab at the Computational Health Center is internationally recognized for pioneering methods in machine learning, single-cell analysis, and computational modeling of complex biological
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to the adaptation of the Environmental Noise Directive for these new technologies. Your main focus will be to develop machine learning-based drone noise models that will be able to generate an accoustic footprint
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undergraduate and graduate students. Our annual ISMaRT program brings together research teams that include faculty, graduate students, and undergraduate students. One student’s research used machine learning
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the HAITrans research group 58 Centre for Translation Studies Startdate: 01.04.2026 | Working hours: 20 | Collective bargaining agreement: §48 VwGr. B1 lit. b (postdoc) Limited until: 31.03.2032 Reference
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imaging, computer vision, and predictive modelling. The postdoc will further develop an existing rumen‑fill scoring algorithm into a functional prototype and pilot the technology for longitudinal monitoring
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dossiers; organize faculty and postdoc searches. Faculty Support â“ Provide support for faculty regarding scheduling, travel, and administrative office support; arrange and support faculty meetings. General
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23 Jan 2026 Job Information Organisation/Company AI4I Research Field Engineering » Computer engineering Computer science Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions
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research in various areas of mobile network systems, multimedia and AR/VR/XR systems, robotics and machine learning, focusing on fundamental aspects as well as on applications in multidisciplinary contexts