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computing concepts, including parallelization, memory management, and performance optimization. Familiarity with heterogeneous computing technologies (e.g., GPUs, accelerators) and related frameworks (e.g
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to manage multiple projects in parallel. Ability to analyze and interpret statistical data and to communicate data in a clear, concise manner. Computer literacy, including the ability to use a variety of
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Proven experience with multiple parallel programming paradigms, including but not limited to; MPI, OpenMP, and CUDA (Compute Unified Device Architecture) Experience in a batch HPC environment with a
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of multiple actively funded global health projects. This position provides critical expertise in biostatistics, epidemiology, and data interpretation across studies focused on severe malaria, sickle cell
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to detect anomalies in evolving data. Some of them consider scenarios where streaming objects with one or multiple features have causal/non-causal relationships with each other which can be represented as
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Job Status Full-time Offer Starting Date 2 Nov 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research
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handling. Analytical, reasoning and problem-solving skills. Ability to work in an intense and deadline-focused environment. Ability to manage multiple projects in parallel. Ability to analyze and interpret
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with ability to manage multiple complex projects in parallel Data analysis and reporting for senior audiences Flexibility and adaptability in fast-paced environments Ability to work effectively across
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16 Apr 2026 Job Information Organisation/Company Université de Savoie Mont-Blanc Research Field Computer science » Informatics Researcher Profile Recognised Researcher (R2) Leading Researcher (R4
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addition to salary, our Total Rewards benefits and Compensation Estimator give you a clear view of the complete package. Pay Grade: 30E - 31E Applications Close: Open until filled. Application review begins May 18