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robotics, embodied AI and neurobotics, wearable robotics, and bio-inspired control. SDU Soft Robotics is a leading research group within SDU Biorobotics. We design, build, and program next-generation bio
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. Integrate the feed chemistry data being developed in a parallel project. Travel to India to help implement the updated model. This would be as needed and no more than two times per year. Conduct a comparative
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batch schedulers (e.g., SLURM, PBS, LSF) and parallel file systems (Lustre, GPFS/Spectrum Scale). Experience implementing and managing automation and configuration management frameworks (Ansible, Puppet
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. Experience in developing and applying advanced parametric/machine learning postprocessing techniques, producing probabilistic forecasts of hydrometeorological variables, and parallel computing. Proficiency in
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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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Division oversees all aspects of the membership program- from acquisition and renewals to stewardship, events, and data-driven strategy. The Membership Manager will guide a dedicated team, champion
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, institutes and programs. We can only realize our mission with the dedication and excellence of engaged staff and faculty. The diversity of opportunities and perspectives within the Faculty reflect the local
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French National Research Institute for Agriculture, Food, and the Environment (INRAE) | Angers, Pays de la Loire | France | about 1 month ago
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 You will join the
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available in the further tabs (e.g. “Application requirements”). Objective This call refers to a joint scholarship programme of DAAD and Secihti. Interested applicants must apply to both the DAAD call and the
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familiarity with parallel programming (MPI and OpenMP). Experience with finite volume methods, high order discretisation or hybrid numerical frameworks is desirable. See the job description for further details