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on the Exascale computer JUPITER. Your work will include: Developing, implementing, and refining ML techniques suited for the largest scale Parallelizing model training and optimizing the execution User support in
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results by 15 January 2026. Founding Source: Project „Dynamics of processes around compact stars” is funded by NCN (contract number: 2023/50/A/ST9/00527). Project website: https://ra.cft.edu.pl/ About us
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Applications. The candidate will be embedded in the Massivizing Computer Systems (MCS) group, which focuses on research in distributed computing systems and ecosystems, and currently spans over 40 diverse people
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Inria, the French national research institute for the digital sciences | Toulouse, Midi Pyrenees | France | 25 days ago
-physical interactions between aerodynamics, propulsion, structures and materials. The systematic verification and validation of these models allows to integrate CFD in the certification process, reducing our
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faculty and benefit from multi-year contracts, sabbatical eligibility, a parallel promotion process, and participation in shared governance. This 9-month academic appointment includes responsibilities in
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and will provide support to parallel spin-off and EU projects investigating the synthesis of novel bio-based surfactants. The synthesis of promising candidates will be scaled up to the kilogram scale
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 19 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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topics related to human visceral anatomy in parallel with the course curriculum. Undergraduate Course Assistants are expected to actively participate in group meetings, and to uphold the Anatomy Lab Code
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Description Primary Duties & Responsibilities: Implements: Algorithms and computer software for analyzing omics-based data sets [high-throughput, massively parallel genomic/proteomic/clinical]; Data management
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within the framework of project “SNexT: New generation of hybrid tools”, with nr. 14419 and operation code at the Funds Platform COMPETE2030-FEDER-00582100, co-financed by COMPETE 2030, by Portugal 2030