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quantitative genomics (http://www.qgg.au.dk/en). QGG is an international organisation with 70 employees and visiting researchers from more than 20 countries. We perform basic and applied research within plant
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research workflows through high‑performance computing (HPC), GPU accelerated systems, high‑speed data transfer capabilities and low latency interconnect technologies. This role requires strong collaboration
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-changing careers. Learn more about Sandia at: https://www.sandia.gov *These benefits vary by job classification. What Your Job Will Be Like: We are seeking motivated postdoctoral candidates to advance
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international network of collaborators and visitors. Further information: Department of Computer Science: https://www.science.ku.dk/english/about-the-faculty/organisation/ Faculty of Law: https://jura.ku.dk
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system administration • GPU computing Qualifications Basic qualifications Ph.D. from an accredited institution with appropriate training and experience. Additional qualifications • Solid understanding
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Associate I, Steward Observatory Posting Number req26390 Department Steward Observatory Department Website Link https://astro.arizona.edu Location Tucson Campus Address Tucson, AZ USA Position Highlights
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of Duties. Where to apply Website https://form.erecruiter.pl/form/65999ecbe10948a39cfb7af9bbeb4701?skkcfg=0596d66… Requirements Research FieldPhysicsEducation LevelPhD or equivalent Skills/Qualifications
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at the interface of AI, imaging, microbiome research, and laboratory automation within a Helmholtz-wide collaboration. Access to state-of-the-art live-cell imaging, microfluidics, laboratory automation, and GPU
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theoretical physics. prior work in many-particle quantum mechanics. excellent knowledge and previous experience in HPC and proven competence in c++ and GPU computing. good ability to work independently and to
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 2 months ago
, expertise, and powerful computational resources (GPUs & CPUs) of the team. This PhD position is fully funded within the framework of RoGSiLT: Robust and Generalizable Sign Language Translation , a