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, and HHU. Your Job Develop machine-learning–based workflows and scientific software for segmentation, species classification, and lineage tracking in multi-species time-lapse microscopy data Optimize
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precision and adaptability in user interactions. Knowledge of deploying robots in shared workspaces, focusing on safety, cooperation, and efficiency in human-robot teams. Multi-Modal ML: Expertise in working
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of deploying robots in shared workspaces, focusing on safety, cooperation, and efficiency in human-robot teams. ● Multi-Modal ML: Expertise in working with diverse data types, such as vision, speech, images, and
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Integration group led by Dr. Jędrzej Szymański. Our group specializes in machine learning, multi-omics data integration, and the development of predictive models for plant gene regulation. We are part of
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performance and robustness, and (ii) exemplary passion and motivation to pursue multidisciplinary research at the intersection of computing and healthcare. Methodologies of interest include: multi-modal
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, graduate students, and undergraduate students. Position Requirements PhD in Mechanical Engineering, Aerospace Engineering, or related field Excellent reacting flow multi-physics computation experience in
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research profile in the core topics of education, culture, management/technology, sustainability and state. Its international study model with the Leuphana College, the Leuphana Graduate School and the
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(TU Delft, UTwente), 6 hospitals, 13 companies (including Model Health and Moveshelf), 1 rehabilitation centre, and 5 patient organisations. The Challenge Reliable, long-term monitoring of motor
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international collaborations in multi-disciplinary research ranging from the development of data analysis and machine learning methods to applications in omics research. Researchers in Finland have access
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format. The application should be registered via Umeå University’s e-recruitment system Varbi (https://umustipendie.varbi.com/en/what:job/jobID:950146/ ) and submitted by the deadline 17th of September