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sound, with human speech at the pinnacle of complexity. Like human babies, songbirds learn their vocalizations early in life from a social tutor. Numerous parallels to human speech learning, including
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—governing the co-precipitation process. Leveraging the ASCC supercomputer at UM6P, three-dimensional CFD simulations based on the Reynolds-Averaged Navier–Stokes (RANS) approach will be performed to model two
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 14 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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to the discovery process through algorithm design and development of effective computing techniques What We're Looking For Education and Experience Required: Master’s degree in chemistry, engineering, math, physical
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design, data analysis, and documentation of experiment results. Job Description Primary Duties & Responsibilities: Develops algorithms and computer software for omics-based data sets [high-throughput
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, parallel storage systems and scientific data management. Recent research project details and outcomes can be found in computer systems conference proceedings, such as HPCA, FAST, SC, DSN, HPDC, IPDPS, and
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Programming" (lectures/tutorials/practicals/projects in flipped classroom teaching, parallelized for classes of 250 students); Your knowledge may also be used for other FISE core courses (signal processing
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(https://www.fct.pt/wp-content/uploads/2024/02/Tabela-de-Valores-SMM_atu… ), paid via bank transfer. Grant holders may be awarded potential supplements, according to a quarterly evaluation process
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Inria, the French national research institute for the digital sciences | Toulouse, Midi Pyrenees | France | 20 days ago
Selection process cv covering letter letter of recommendation (if applicable) transcripts and rankings of Master's years (or equivalent) Website for additional job details https://jobs.inria.fr/public/classic
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for scientific computing to support users in the process of solving increasingly complex compute- and data-intensive problems in science and engineering on high-end parallel and distributed computing platforms