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Field
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; strong physical, mathematical, and computational background; experience with programming in at least one general-purpose language (preferably Julia) and parallel computing; demonstrated effective written
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parallel computing techniques including working in the cloud. Preferred Qualifications Education: No additional education beyond what is stated in the Required Qualifications section. Certifications
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broadcasting systems and has developed the best in class large scale testbeds for research and innovation and enjoys the state-of-the-art lab and computing facilities. Established in 2012, 5GIC is the world’s
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(MRI). The research will be of practical relevance to current societal challenges related to education and health. The C-LaBL Mentorship Program will provide a comprehensive training scheme to a
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completion) in applied mathematics, computer science, or a closely related field. Strong background in numerical linear algebra, algorithm design, and parallel computing. Proficiency in programming languages
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distributed computing for EMT simulations. • Experience with software development in Python, C++, or other programming languages. • Familiarity with GPU acceleration of numerical solvers, parallel sparse
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Application Deadline 26 Aug 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
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MontpellierJoint research unit of University of Montpellier and CNRS (\~400 members). The DEXTER team (robotics department) focuses on surgical robotics and parallel kinematics, designing high-performance robots
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The DYNATERRE project contributes to the transition toward a
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of atmospheric aerosols and parallel computing/software development is strongly desired. The term of appointment is based on rank. Positions at the postdoctoral rank are for one year with the possibility