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Field
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therapeutic opportunities in cancer cachexia and related fields. · Develop clear and effective scientific communication skills for audiences ranging from specialized investigators to broader biomedical
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and machine learning techniques in analyzing supply chain risk. Ability to develop and synthesize visualizations to effectively communicate analysis results. Strong programming skills in statistical
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that enabled the visualization and purification of individual PDGFR dimers, revealing differences in the timing and extent of dimer activation, signal molecule binding, internalization, trafficking and
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interfaces and visualization workflows) for IBWC, NADBank, and other regional stakeholders. Coordinate usability testing, stakeholder workshops, and feedback loops, and contribute to advancing the platform
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methylation, chromatin accessibility), and clinical data. · Develop, apply, and benchmark machine learning and statistical models for subtype discovery, classification, and outcome prediction. · Contribute
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About the Opportunity Postdoctoral Research Associate – Human Data Interaction/Data Visualization – The Roux Institute, Portland, Maine We are currently seeking two postdoctoral research fellows
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Postdoctoral Researcher in Semantic Knowledge Engineering & Interoperability in Materials Science in
Bundesanstalt für Materialforschung und -prüfung (BAM) | Berlin, Berlin | Germany | about 2 months ago, navigation, and visualization concepts for research data infrastructures based on the developed knowledge models Design and implementation of dissemination, training, and community activities to establish
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negotiated with the successful candidate. The maximum appointment is two years. Research projects for the Postdoctoral Associate will be generated in any of the following ways: 1) an issue of importance in
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, navigation and control, visual landing and event-based vision, scientific deep learning for physical systems, spiking neural networks for event-based systems. Building on this experience, the research line
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and validate a novel single-camera markerless motion capture system, combining biomechanical realism, synthetic data generation, and privacy-preserving visualization within a single framework, to enable