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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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maintain sophisticated programs crucial to research success Lead training workshops that empower a diverse research community, helping everyone—from students to principal investigators—develop critical
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parallel scheduling frameworks and operates the Scalable Systems Laboratory, a cloud-native software testing platform for the NSF Institute for Research and Innovation in Software for High Energy Physics
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Inria, the French national research institute for the digital sciences | Saint Martin, Midi Pyrenees | France | 2 months ago
Framework Programme? Not funded by a EU programme Reference Number 2025-09481 Is the Job related to staff position within a Research Infrastructure? No Offer Description The candidate will be supervised by
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computational, molecular and biophysical techniques. During the project you will design the methodology for, and perform the directed evolution of H-transfer enzymes using parallel selection methods, measure
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 1 month 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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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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Qualifications Current certificate of authority to practice as an APRN in the State of Ohio Graduate of a Nurse Practitioner program that qualifies the graduate to sit for the certification examination of a
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fundamentals and hands-on experience with HPC systems; parallel/distributed programming and/or solid UNIX skills Proven experience operating Machine Learning (ML) in production. Able to design, automate, and
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and optimize large-scale training and inference runs for foundation models on JUPITER (multi-GPU/node, mixed precision, parallelization, I/O optimization) Integrate multimodal data sources (e.g., scRNA