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skills and experience with numerical modeling and particle-based methods Interest in working closely with experimentalists Excellent written and spoken English skills Experience with parallel programming
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Position Announcement - Mohammed VI Polytechnic University (UM6P), College of Agriculture and Environmental Science (CSAES), AgroBioSciences program (AgBS), Job Title - UM6P - Vacancy for Assistant
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data resources for different research applications Knowledge of computer programming languages Experience of working in a high-performance computing environment (e.g. Slurm) and/or with public/private
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. The Software Engineer will be responsible for maintaining high standards around code quality via improving design, pair programming, code reviews, etc. The code should take advantage of parallel processing to run
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of, the different laboratories working both collaboratively and creatively with staff and administrative leadership to address complex technical, facility, and HR related issues to improve processes and integrate
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driven science/tools. Teaching or training experience. Experience using large-scale HPC clusters. Experience supporting research computing environments. Familiarity with parallel programming models such as
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of laminar/neuropixel probes and electrical microstimulation to study attention and decision making networks in a behaving animal model together with parallel studies in humans. The project is part of a NIMH
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Global Critical Zone Science Chair to develop and conduct a research program to better understand forest nutrition and nutritional stress in Eucalyptus forest stands in Brazil. Research context: Forests
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strengthening research capabilities in the region. The candidate will be part of the WAARC Postgraduate Cohort and supported through WAARC’s Postgraduate Research Scholarship Program. The candidate will work
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: Rethinking AI for Just and Sustainable Futures programme. CFI is a highly interdisciplinary research centre addressing the challenges and opportunities posed by artificial intelligence (AI). Funded by