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Qualifications: Experience with multimodal AI, large language models (LLMs), or retrieval-augmented systems Familiarity with high-performance computing (HPC) and distributed training environments Experience with
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minimal supervision, to set up and perform routine and established lab procedures in support of lab goals. To collect, enter and summarize data. To monitor results and report unusual outcomes. Key Duties
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the existing expertise in Liquid Argon (LAr) neutrino detectors. Within this context, the postdoc position will focus on quantifying key technical requirements to ensure high performance in implementing
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. The post holder will work closely with experimental scientists and clinical partners and will have access to high-performance computing facilities. About You The successful candidate should have a PhD (or be
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parameters. You will engage with complex, high-dimensional datasets derived from real fabrication workflows, including microscopy, spectroscopy, and electrical performance measurements. You will work closely
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the development of mathematical models for signal transmission and reception, derivation of fundamental performance limits, algorithmic-level system design, and performance evaluation through computer simulations
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systems, and the Zero-G Lab, a unique facility designed to emulate proximity operations under space-like conditions. In addition, CVI2 provides high-performance GPU computing resources that support the
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undertake high-impact research at the interface of materials science, advanced imaging, and artificial intelligence, with a particular focus on developing automated approaches for analysing multi-modal
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will contribute to the development of comprehensive computational modules that simulate the behavior and the performances of bioreactor to produce high added value product. Ability to engage
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10 Apr 2026 Job Information Organisation/Company MOHAMMED VI POLYTECHNIC UNIVERSITY Research Field Computer science Engineering Researcher Profile Recognised Researcher (R2) Established Researcher