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Finance at EPFL seeks postdocs to reinforce our research in quantitative finance with a focus on applied machine learning. Main duties and responsibilities Working and collaborating on research projects
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to manuscript and grant preparation. The postdoc will also help develop a murine model to establish a dose-response relationship between uropathogen burden/catheter biofilm burden and UTI, and will support a
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, design and analysis of virus-derived RNA libraries, and development of machine learning models for detecting functional elements in viral metagenomic datasets. This project is a collaboration with the
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can find more information about the postdoc positions available in the areas listed here: https://math.au.dk/en/about/vacancies/postdoc/ When applying, you will be asked to indicate, which of the areas
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
well as for federally funded social and behavioral sciences research and development. Here at Carolina, our highly skilled postdocs play a vital role in our research enterprise and towards our overall commitment
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(postdoc) Reference no.: 6036 Explore and teach at the University of Vienna, where over 7,500 brilliant minds have found a unique balance of freedom and support. Join us if you’re passionate about
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, extract, and standardise functional information 2. Develop computational tools that integrate evolutionary and functional information using comparative genomics and deep learning approaches 3. Apply
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be able to track differences in strategy use between novices and experts on a task and map their learning trajectory. What are you going to do? You will be responsible for coordinating and carrying out
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Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job 100% Research This is a request for FTPI postdoc position in condensed matter theory. It will benefit the ongoing research
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: Overcoming Inequity in Embodied Learning in Danish Vocational Education and Beyond, funded by Independent Research Fund Denmark. This is a full-time (37 hours per week), fixed-term (24 months) postdoctoral