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working with Infiniband and parallel filesystems (Lustre, GPFS) is a plus. Experience managing Linux/UNIX operating systems in a heterogeneous environment. Solid understanding of networked computing
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& Responsibilities: Designs, develops, and implements: Algorithms and computer software for omics-based data sets [high-throughput, massively parallel genomic/proteomic/clinical.] Data management and analysis
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in GPU programming one or more parallel computing models, including SYCL, CUDA, HIP, or OpenMP Experience with scientific computing and software development on HPC systems Ability to conduct
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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
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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
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neural networks, including CNNs, GANs, transformers, and GNNs for urban science applications. Expertise in programming languages for software development and data management with proficiency in Python, SQL
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, design, implementation, and related documentation. Analyzes systems performance and modifies programs to increase the efficiency of the operation. Reinstates integrity of system as quickly as possible
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longevity speaks for itself, with employees staying an average of ten years. Competitive state benefits including retirement plan vesting at 10 years of service, generous leave accrual, and parental leave
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of income, including other scholarships If you have applied for admission to a Master's programme in parallel: reference number and submission date of your application. Incomplete applications cannot be taken
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. or Ph.D. programs around the country, or pursue biomedical startup or industry careers. Responsibilities Research 80% - Run multiple projects in parallel, in collaboration with PhD students and postdocs