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of Antwerp is seeking a post-doctoral candidate willing to write a research proposal on the topic of Classification of Online Multimodal Data. The position is embedded in the Computational Linguistics branch
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microscopy data analysis, chemometrics, and machine learning. This position is ideal for a researcher who enjoys working at the interface of imaging, data science, and environmental monitoring. The project
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FWO-UGent funded bioinformatics postdocs: Unveiling the significance of gene loss in plant evolution
Integration of phenotypic data with omics analysis Explore machine learning and network analysis methods Profile Essential A PhD in Bioinformatics, Computational Biology, Evolutionary Biology
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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in pre-processing and processing large biomedical datasets, including bulk and single-cell (epi)genomics and transcriptomics data using high-performance computing. You have excellent written and oral
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computing clusters and analysis of transcriptomics and genomics datasets. Desirable Requirements Experience in single-cell and spatial OMICS data analysis. Development of ShinyApps and
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Postdoctoral researcher position. Mechanobiology in bioengineered neurodevelopment. Laboratory of...
of regulation of morphogenesis, while using state-of-the art bioengineering technologies and spatial transcriptomics. The research fits within the scope of a large, multidisciplinary research projects funded by
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postdoctoral researcher - molecular mechanisms T-cell leukemia - Diagnostische Wetenschappen (28449)
Experience in bioinformatic analyses of large genomics data sets is preferred Experience in project writing and successful achievement of grants is a plus. WHAT WE CAN OFFER YOU We offer you a contract of
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tomography research team with, for this position, a particular emphasis on computational imaging and deep learning. Tomography is an image reconstruction technique that leans strongly on large-scale numerical
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computing clusters and analysis of transcriptomics and genomics datasets. Desirable Requirements Experience in single-cell and spatial OMICS data analysis. Development of ShinyApps and