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Field
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designed for cutting-edge engineering applications. Additional requirements include proficiency with C++ and parallel programming models, experience developing complex simulation software as part of a
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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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, or similar). Experience with parallel programming frameworks (e.g., MPI, OpenMP, CUDA) and high-performance interconnects (e.g., InfiniBand). Preferred Qualifications: Familiarity with advanced storage
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We are seeking a Sr. Research Data Analyst who will build complex data models and conduct complex data analysis in support of research projects, programs, and/or studies. The Sr. Research Data
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Inria, the French national research institute for the digital sciences | Saint Martin, Midi Pyrenees | France | 4 days 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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Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The Basque Center
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2025 - 00:00 (UTC) Type of Contract Temporary Job Status Part-time Hours Per Week 30 Offer Starting Date 1 Nov 2025 Is the job funded through the EU Research Framework Programme? Not funded by a EU
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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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other research services and resources. Strong programming skills in languages such as C, C++, Fortran, Python, or other languages commonly used in HPC environments. Deep understanding of parallel
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Internal Number: 119199-en_US We are seeking a Sr. Research Data Analyst who will build complex data models and conduct complex data analysis in support of research projects, programs, and/or studies