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Field
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to understand immune microenvironmental interactions; Integration and interpretation of complex datasets in collaboration with computational scientists You will be expected to take a lead in experimental design
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, videos, problem sets, interactive case studies) for digital lecture content. Student Mentorship Mentor graduate students in experiment design, execution, data analysis, and safety compliance. Research
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for a postdoctoral fellow to study the forces that shape evolution. Broadly, we are interested in how such forces, including mutation, selection, recombination and genetic drift, interact in determining
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from and strongly interact with the Helmholtz large-scale infrastructure project “SAFAtor”. Your responsibilities: Processing DAS data from different ongoing experiments in the study region Application
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topics: Predictive Coding of Music, led by Peter Vuust (PI, Director) Multimodal Theme, led by Boris Kleber Music Interactions, led by Peter Keller Meaning of Music, led by Elvira Brattico (PI) and Morten
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scientific institutions in Europe. Opportunity to interact with internationally renowned experts, and with a strong team of postdoctoral researchers and PhD students. Information Only applications submitted
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 21 hours ago
at improving how researchers interact with complex data and analysis workflows. Potential project areas include developing semantic search capabilities to help users efficiently locate relevant datasets
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interactions help facilitate active scientific exchange and foster a good atmosphere, and therefore play a big role in our team. Learn more about us here: https://swa.cs.univie.ac.at/ Your future tasks: You
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that can sit at all scales of the human experience. We have a strong research focus and present our work at top-tier ACM computer science venues in Human Computer Interaction (HCI) and Wearable Computing
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-organic frameworks, and their physicochemical properties. State-of-the-art spectroscopy techniques are used to enhance the understanding of interactions at the molecular level. The focus is on diffusion and