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Internal Number: 119199-en_US We are seeking a Sr. Research Data Analyst who will build complex data models and conduct complex data analysis in support of research projects, programs, and/or studies
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omics-based data sets [high-throughput, massively parallel genomic/proteomic/clinical.] Data management and analysis solutions that aid in the storage, investigation, and dissemination of large data sets
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.-Prof. Dipl.-Ing. Dr. Siegfried Benkner, focuses on research in programming paradigms, languages, compilers and software infrastructures for scientific computing to support users in the process of solving
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technologies, drug discovery and advanced therapeutics. We have excellent facilities to support our parallel use of pre-clinical cell and in vivo models, alongside human cellular models, which provide
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materials with engineered catalytic sites, as part of the HyCARB project. The successful candidate will join a dynamic research team with access to facilities for materials synthesis and parallel catalytic
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programming; Experience programming distributed systems; Experience with parallel and distributed File Systems (e.g., Lustre, GPFS, Ceph) development. Advanced experience with high-performance computing and/or
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, United States of America [map ] Subject Area: Computational Science / Artificial Intelligence/Machine Learning Appl Deadline: (posted 2025/11/19, listed until 2026/01/26) Position Description: Apply Position Description
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Computing, led by Univ.-Prof. Dipl.-Ing. Dr. Siegfried Benkner, focuses on research in programming paradigms, languages, compilers and software infrastructures for scientific computing to support users in
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 15 days ago
); STR genotyping using capillary sequencer, primer design; Sanger sequencing; massively parallel sequencing (sequencing by synthesis); experience in Illumina platforms and chemistries preferred. Salary
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-Walls Centre – as well as Quantum Technologies Aotearoa (QTA), a national multi-institutional research programme. The Department also has particular strengths in affiliated areas through multiple active