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and mass spectrometry and the largest HPC (High Performance Computing) cluster in Africa. The laboratory aims to leverage these resources to address bioinformatics needs internally and at the African
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environment This position offers access to state-of-the-art computation resources available at St. Jude (HPC environment with 5.3 PFLOPS of power and 150 PB of storage capacity, link 1 below). St. Jude offers
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, transcriptome and genome analysis software, Linux environment, HPC systems, TopHat, Bowtie, DESeq2, enrichment analysis tools, Genevestigator, psRNATarget, OmicsBox, etc.; experience using public omics databases
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computing AI on High-Performance Computing (HPC) cluster. Examples on areas of research interest include but are not limited to: Vision transformers. AI foundation models. Computing and energy-efficient
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Multi-mentor teams (faculty + industry + academic + overseas scholars) with customised career design Access to best national infrastructure (Cryo-TEM, HPC, etc.) Incentives for high performers: extra
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of high-dimensional datasets, and developing bioinformatic pipelines for high-throughput analysis in high-performance computing (HPC) clusters. The work provides the possibility to develop skills in
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local research software engineer for your research group(s) and improve the use of computing among all group members. Stay up to date with the latest HPC, AI, and general computing/data management
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have experience with interactive visualisation of uncertainty (e.g., dashboards, uncertainty mapping). You have experience with HPC or parallel computing for computationally intensive tasks. Our offer A
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and risk assessment modeling. • Prior experience with CCUS research projects. • Familiarity with high-performance computing (HPC) and parallel computing techniques. Required Knowledge, Skills, and/or
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computing (HPC). This position offers an exciting opportunity to work on cutting-edge research projects at the intersection of numerical linear algebra and advanced HPC. The candidate will join an