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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 A postdoctoral position is available in the “Intracellular
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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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, or parallel computing. Strong programming skills. First research experience through peer-reviewed publications is meritorious. After the qualification requirements, great emphasis will be placed on personal
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engineering; Formal methods, models, and languages; Interactive and cognitive systems; Distributed systems, parallel computing, and networks. The successful candidate will work closely with teams specializing
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Deadline 29 Jan 2026 - 15:00 (Europe/Madrid) Country Spain Type of Contract Permanent Job Status Part-time Offer Starting Date 15 Jan 2026 Is the job funded through the EU Research Framework Programme? Not
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, Tenured/Tenure-Track, Full Time, Faculty - Computer Science California State University, Fresno College of Science and Mathematics Department of Computer Science http://fresnostate.edu/csm/ Computer
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-performance computing. SLU provides access to extensive datasets that can be used to develop machine learning methods and automated analyses relevant to the position. Long-term datasets are available from, i.a
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are invited to view the full program details: https://www.canada.ca/en/impact-plus-chairs/program-details/competition/2026/apply.html Our Values Accessibility, Belonging and Community for all are key strategic
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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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modeling using chemistry or materials codes, weather simulations, etc. Statistical modeling and data visualization Parallel software design with MPI, OpenMP, pthreads, or CUDA GPU computing environment Deep