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position comprises research and teaching at bachelor's, master's and doctoral level in computer science, primarily in operating systems, compiler construction, systems programming, and parallel and
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and cloud computing. Documented ability to teach operating systems. Documented ability to teach compiler construction. Knowledge of parallel programming. Experience of software development or cloud
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computation, communication and storage, optimizing GPU utilization, parallelization, inter-node communication and I/O performance on parallel file systems. You will develop solutions for monitoring
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NVIDIA Nsight, rocProfiler, or similar. Strong understanding of parallel programming with MPI, OpenMP, and GPU-based programming models. Experience working on national or international supercomputing
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. in engineering, neuroscience, statistics, quantitative biology, physics, mathematics or a related discipline. Fluency in Python programming language. Experience in statistical modeling and/or AI
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biology, physics, mathematics or a related discipline. At least 3 years additional relevant research experience beyond MSc Fluency in Python or R programming language Experience with curation
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time-series data Experience of high-performance computing, GPU-based computing, or parallel programming Experience of probabilistic modelling or inverse problems Experience of developing and
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students, postdoctoral researchers, and international partners, therefore the candidate is expected to be multitasking as projects will progress in parallel. Active participation in other ongoing projects
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parallel. Active participation in other ongoing projects in the lab and clear communication of research findings to both specialized and general audiences are expected. Additional responsibilities include
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benefit from these and more parallel research threads within our group. The project sits at the intersection of satellite remote sensing and climate science, and you will work in a team spanning both