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global and local settings. In parallel, the role supports international student recruitment and student body diversification by working with upstream stakeholders—such as international high schools and
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to operate confidently in both global and local settings. In parallel, the role supports international student recruitment and student body diversification by working with upstream stakeholders—such as
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) and parallel computing, with a focus on cost-efficient and scalable model deployment. Skilled in working with medium-large scale multicore and heterogeneous (CPU + GPU) clusters. Excellent verbal and
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exploring them. Basic data preprocessing, feature engineering, and model evaluation, or a strong willingness to gain hands-on experience. Eagerness to learn HPC concepts, including parallel computing
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hardware architectures (multicore, GPUs, FPGAs, and distributed machines). In order to have the best performance (fastest execution) for a given Tiramisu program, many code optimizations should be applied
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frameworks (e.g. PyTorch, TensorFlow) and relevant libraries. Practical experience in scalable data processing, including the use of parallel computing, cloud platforms, and distributed systems for efficient
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services, distributed web authentication, LDAP, computing account management, and other similar technologies, as well as auditing software, centralized antivirus management, intrusion detection systems
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services, distributed web authentication, LDAP, computing account management, and other similar technologies, as well as auditing software, centralized antivirus management, intrusion detection systems
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with the architecture and performance characteristics of distributed computing and data handling systems. Extensive knowledge in computer science or related field, demonstrated through education or
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meet security, compliance, and integration requirements. You will collaborate with various professionals and act as the link between technical teams, clinical teams, and project management. In parallel