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Field
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, excursions) Global geo-/paleomagnetic field modelling expertise is advantageous Strong programming skills, preferably in Fortran, Python and/or Matlab, parallel programming Experience in international
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to candidates who have skills in any of the following areas: Genetics/GWAS/eQTL analysis Massive parallel reporter assays DNA synthesis technology Machine learning for genomics Single cell omics (e.g. perturb-seq
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duties. Ability to effectively manage time and see assigned parts of projects through to completion on deadline. Proven ability to juggle multiple related projects in parallel with concurrent and staggered
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opportunities for parallelism of the completion process, highlighting the potential for significant speedup in computations. Job responsibilities Research and Development: Conduct research to develop novel
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leading peer-reviewed journals and conferences. Researching and developing parallel/scalable uncertainty visualization algorithms using HPC resources. Collaboration with domain scientists for demonstration
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of custom computer code, and the processing of large-scale simulations using massively parallel resources such as NERSC and Raj cluster at Marquette. Conduct research with a significant degree of independence
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invasive sensing tools to monitor metabolites, oxygen, carbon dioxide, pH, and other parameters. Ideally, the methods can function in parallel and on a large scale. The research is vital to understand key
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include high-performance computing, middleware and computing systems. Recent relevant research experience to include: Undertaking research in the area of high-performance / distributed / parallel computing
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part of a team, be happy to share thoughts and receive feedback from other team members, and be able to carry out parallel tasks In addition, it is preferable that you: Have experience with processing
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laboratory and database administration. Experience with processing data from massively parallel DNA sequencers, computation on high performance compute clusters, using open source database management systems