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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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-term outcomes, EVAR-patients have an increased long-term risk of complications and reinterventions. This requires life-long follow-up. In the ZonMW-funded AI for EVAR project, we develop multi-modal
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life-long follow-up. In the ZonMW-funded AI for EVAR project, we develop multi-modal models for optimized selection of treatment before, and follow-up after EVAR. You will implement and advance
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-up. In the ZonMW-funded AI for EVAR project, we develop multi-modal models for optimized selection of treatment before, and follow-up after EVAR. You will implement and advance multimodal deep learning
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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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—such as visual navigation, object detection, anomaly identification, and compression—when using conventional versus event-based sensing modalities. identify application domains where neuromorphic systems
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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
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remote sensing/climate data. You have programming skills in Python and/or R; you are familiar with reproducible coding and automated geospatial data analysis. You have excellent scientific writing and