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of Data Science at Dana-Farber Cancer Institute welcomes recent Ph.D. graduates and doctoral candidates nearing graduation who have research interests in applied statistics, machine learning
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at the intersection between analytical chemistry, chemometrics and life sciences. As a postdoc in this project you will learn to use and help to develop cutting-edge methodologies linked to vibrational spectroscopy and
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-royal-institute-of-technology/2025/postdoc… Requirements Research FieldComputer scienceYears of Research Experience4 - 10 Additional Information Website for additional job details https
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, applying it to data analysis, econometric modelling, machine learning solutions, and the automation of research and data processing; Practical experience in the IT industry, developing, deploying, and
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collection Knowledge of association mapping (GWAS/EWAS), statistical modeling, or machine learning in biological contexts Interest in field-lab integration and scaling projects from pilot to multi-site
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of Python programming and a deep learning framework, preferably PyTorch. Solid knowledge of image processing, inverse problems, and machine learning. Significant research experience, demonstrated by quality
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application! We are now looking to appoint a postdoc in the field of AI and machine learning with a focus on scientific applications. Work assignments The primary focus of the postdoc positions is research in
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research projects within LIA’s CORNET team, focusing on: Network and cloud systems, Virtualized network systems, Cloud and edge computing technologies and machine learning related topics
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for professionals and youth at risk" (CONTEXT), funded by an NWO National Science Agenda 2024 consortium grant . The postdoc position will be embedded in the Developmental Evolutionary Ecological Psychology (DEEP
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explored during your postdoc include: What are efficient machine learning strategies to identify large ensembles of nanoparticles in tomograms (i.e., to identify nanoparticles on irregular 2D surfaces in 3D