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on designing system software for automating processes such as intelligent data ingestion, preservation of data/metadata relationships, and distributed optimization of machine learning workflows. Collaborating
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-scale scientific data. Publishing research in leading peer-reviewed journals and conferences. Researching and developing parallel/scalable uncertainty visualization algorithms using HPC resources
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journals and conferences. Researching and developing parallel/scalable uncertainty visualization algorithms using HPC resources. Collaboration with domain scientists for demonstration and validation
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regional ocean/ice/biogeochemistry models (OBMs) applied to Arctic coastal seas, the properties of terrigenous sediments are rarely integrated into physical and biogeochemical processes. To address this gap
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plastic surgery. Description of the project and work responsibilities The project involves basic science and clinical research samples, with particular focus on the role of autologous fat in regenerative
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engineering; Formal methods, models, and languages; Interactive and cognitive systems; Distributed systems, parallel computing, and networks. The successful candidate will work closely with teams specializing
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description We are looking for a postdoc to join our team at the Division of Signal Processing and Biomedical
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multiome RNA-seq, ATAC-seq and massively parallel reporter assays (MPRAs) for unbiased genome-wide analysis for understanding the phenotypic plasticity in different cancer cell states. Work tasks The work
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interdisciplinary team. Please keep your eyes open for related positions advertised in parallel to this one. If you see yourself to be qualified for more than one of them, please re-submit your application for each
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will be embedded in a closely collaborating interdisciplinary team. Please keep your eyes open for related positions advertised in parallel to this one. If you see yourself to be qualified for more than