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on the grants) and the IPD leadership team, you will ensure alignment across projects, monitor budgets at both project and program levels, and reallocate resources as needed to achieve overall program and
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collected for various experiments and interpret to understand biology of plant-pathogen interactions Collaborate with other lab members on various projects to conduct computational analyses in parallel
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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | 2 months ago
(supercomputer/cloud/edge) infrastructures. Developed by the KerData research team in the context of the STEEL project of the national PEPR CLOUD program, E2Clab (https://team.inria.fr/kerdata/e2clab/ ) is a
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problems in science and engineering on high-end parallel and distributed computing platforms. The employment duration is 3 years. Initially limited to 1.5 years, the employment relationship is automatically
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for Politics for at least the initial term of their appointment. The candidate will have wide latitude in shaping Polis’s activities through their strategic leadership in program development and implementation
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- 23:00 (UTC) Country Austria Type of Contract To be defined Job Status Full-time Hours Per Week To be defined Is the job funded through the EU Research Framework Programme? Not funded by a EU programme
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, cyber-physical systems, real-time systems, autonomous systems, middleware, parallel computing, operating systems, Edge AI or AI in cyber-physical systems; Demonstrate strong analytical, programming, and
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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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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 Postdoctoral Position: Mechanics
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, Interactive and Cognitive Systems, Distributed Systems, Parallel Computing, and Networks. The host team, DAISY, is a joint CNRS, Grenoble INP, and UGA research team handling research challenges