24 parallel-processing-"NTNU---Norwegian-University-of-Science-and-Technology" positions at Linköping University in Sweden
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writing and speech. A solid background in software tools and engineering, operating systems, compilers, concurrent programming and in programming distributed, parallel and heterogeneous computer systems is
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treatment. It is advantageous if you have previously worked with massively parallel sequencing (NGS), both in the laboratory and/or with bioinformatics, for example Single Cell RNAseq. It is also advantageous
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samples (blood, serum, feces, urine, saliva etc.) experience with Anova knowledge of registers at ABIS, as well as other national registers good computer skills, including knowledge of SPSS and Exel
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include teaching lessons, supervising in the computer lab or during laboratory exercises, and other tasks, including correcting reports, quizzes, etc. About you To be employed as an amanuensis, you must
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materials, demolition materials as well as renovation materials). Procurement processes are central to create a demand of circular materials, especially how this relates to digitalization, big data management
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combine large-scale data, computational methods, and clearly articulated social-science theories to improve our understanding of society. Recent advances in machine learning, natural language processing
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combine large-scale data, computational methods, and clearly articulated social-science theories to improve our understanding of society. Recent advances in machine learning, natural language processing
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application! We are looking for up to 10 teaching assistants to the Department of Computer and Information Science. The position We are looking for up to 10 teaching assistants to support examinators in
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the kinetics of enzymatic polymerization processes in biological environments. Expand and tailor enzyme repertoires to optimize functionality and electrode performance. Collaborate within a multidisciplinary and
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-omics data processing, including integration and analysis of complex biological datasets. • Excellent communication skills in English, both spoken and written, suitable for academic and collaborative