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-built optical microscopes, developing control software, and building data analysis pipelines to extract quantitative information from dynamic samples. This fellowship is a software-engineering role with a
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 14 days ago
, and innovation centre active in the fields of High-Performance Computing (HPC), Data Analytics (HPDA), Quantum Computing (QC), Artificial Intelligence (AI) and their applications. For more, see https
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deep learning, on the topic “Analysis and Reconstruction of Digital Data Fragments”. This internship is intended for students at M2 level, or in the final year of an engineering school, interested in a
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/College College of Science Primary Unit Mathematics and Statistical Science Employee Category Faculty Classification Group Title Regular Faculty Position Control Number 0286 Suffix 00 Contingency Code Not
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Statistics Apply for this job See advertisement About the position The University of Oslo, Department of Mathematics, Section for Statistics and Data Science, invites applications for a PhD fellowship in
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applied mathematics and computer science, experimental computing systems, scalable algorithms and systems, artificial intelligence and machine learning, data management, workflow systems, analysis and
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, tensor analysis, and network science to foster the professional development of team members. Qualifications and experience essential PhD in Applied Mathematics in the fields of Numerical Linear Algebra
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skills, especially in the programming of high order finite element methods on polygonal and polyhedral meshes, and a mathematical background in the analysis of finite element methods. Some understanding of
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transcriptional regulation from multi-omics data; computational method development for single-cell epigenomic sequencing and image-based spatial-omics data analysis; computational and experimental studies
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the global top tier. For example, csrankings.org lists DESS as no. 2 in Europe and no. 11 in the world within Databases for the period 2021-2025. More information about DESS can be found at: https