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for innovative microfluidic platform for exosome enrichment and MS analysis The Metabolomics and Analytics Center (MAC) is seeking a talented and motivated Postdoctoral Researcher to advance the integration
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science or another field related to the topic. You have experience in systematic data collection, statistical analysis with appropriate software, and, in particular, describing complex systems by simple
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In this role, you will be responsible of developing cutting-edge deep learning models for real-time image and video analysis (e.g., segmentation, object tracking, reinforcement learning), with
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learning models for real-time image and video analysis (e.g., segmentation, object tracking, reinforcement learning), with applications to medical imaging and robotic systems. In this role, you will
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of developing cutting-edge deep learning models for real-time image and video analysis (e.g., segmentation, object tracking, reinforcement learning), with applications to medical imaging and robotic systems. In
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handling platform and hanging droplet evaporator to process single cells, exosome samples and other biomass restricted samples for high resolution mass spectrometric analysis. As a Research Engineer, you
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coursework and GitHub repositories. Postdoctoral candidates must have extensive expertise in deep learning for medical image analysis. We welcome applications that only partially qualify these requirements but
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vegetation ecology. You have hands-on experience with ecological data collection and are proficient in data analysis and statistical methods. You are willing to travel to field sites across Europe, and
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innovative research on marine mammal health and mortality; analysing large datasets from post-mortem investigated marine mammals and related environmental factors; applying advanced data analysis techniques
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. Conduct research activities including literature analysis, policy analysis, stakeholder interviews, analysis of surveys. Instigate and report study results in international academic outlets as