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in uncertain environments such as stock portfolio optimization. The lab does not specialize in applied data science projects or computational social science research. Candidates whose primary interest
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and economic development. The role requires strong foundations in mathematics and computer science, including statistical learning, optimization, simulation, and algorithmic reasoning. The successful
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in practical AI/ML system development, hands-on engineering works on these intelligent systems, and system-level optimizations. Additional knowledge on MLOps, robust/secure computing, Hallucinations
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optimizations. Additional knowledge on MLOps, robust/secure computing, Hallucinations and Alignment, privacy-preserving ML, and ML security is highly desirable. Applicants with strong industrial experience
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years of relevant research experience, together with at least a Master’s degree in Computer Science, Computer Engineering, Human-Computer Interaction, Artificial Intelligence, Data Systems, or a closely
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computer science, including statistical learning, optimization, simulation, and algorithmic reasoning. The successful candidate will use programming and computational tools (including Python, MATLAB, and
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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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develop a glaucoma implant. This project entails computational modeling, implant design and manufacturing, optimization, and preclinical experiments using an animal model. The candidate will be working
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) Application Deadline 29 Aug 2026 - 00:00 (UTC) Country United Arab Emirates Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU
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on designing and developing novel medical devices for ultimate human use. The successful applicant will join a project to develop a glaucoma implant. This project entails computational modeling, implant design