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waveforms targeting spectrum bands above 140 GHz. These frequency ranges are envisioned for very high-data-rate point-to-point links (x-haul) and/or joint communication and sensing applications. In both cases
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stakeholders. For further information, please contact Prof. Dr. Christian Schulz ( ) Your profile Master's degree in human geography/social sciences with work experience in environmental economic geography and
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bioinformatic facility, data storage and analysis facility and animal housing of which bees, drosophila, zebrafish, xenopus and mice facilities. Deep sequencing and proteomics facilities can be accessed in nearby
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, spatial relationships, and contextual information. The framework would focus on real-time inference and investigate temporal search strategies using vision–language large models to identify anomalies in
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workshops (preferably as a smartphone application). Design protocols for data collection and analysis, considering the short time slots available for measurements, requiring close coordination with
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unit (UMR 7248) from UCA and CNRS. Abstract Optical flow estimation is a key task in computer vision, particularly critical for autonomous navigation where accurate motion perception is essential. It can
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the professor's performance with respect to the above-listed expectations. For further information about the role, please contact: Prof. Serge Haan, Head of department, Email: Your profile A recognized degree in
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information: Contract Type: Permanent contract Work Hours: Full Time 40.0 Hours per Week Location: Belval Campus Internal Title: Research scientist Job Reference: UOL07980 .
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in the training data and can naturally arrive during deployment (i.e., a distribution shift), increasing the risk of obtaining wrong predictions. Consequently, OoD samples detection is crucial in
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regularization. In the morpheme group we have proposed model-driven approach (e.g., COL0RME [1]) as well as model-based data-driven approaches (e.g., GANs [2] or Plug& Play [3]). A different and increasingly