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the knowledge acquired during the PhD with team members and acquire new knowledge. - Engage with the Local team at LIPN and the wider national community working on proof theory, programming languages and
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: · A completed M.Sc. degree in computer science, machine learning, and related fields. · Strong proficiency in English (the working language of the institute). · Capability and willingness
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-to-end pipeline optimisation to support efficient pre-training and fine-tuning at scale; (e) explore efficient architectural designs for both dense and MoE models, including but not limited to MLA, mHC
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. Expertise and knowledge in AI deep learning model development on histology whole slide imaging analysis in computational pathology is essential. Applicants should have a solid publication record and
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assistant: An AI system for flipped classroom”. Qualifications Applicants should have: (a) an honours degree or an equivalent qualification; (b) passion for HCI/e-learning research; and (c
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in problem-solving and independent thinking; Experience in brain stimulation would be an asset or willingness to learn; Proficiency in English (speaking French would be a plus). This position offers
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involve developing an approach that uses Knowledge Organization (KO) metadata and ontologies to optimize parallel processing and scheduling policies (via Kubernetes) for Machine Learning tasks. The fellow
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with other researchers. If you prefer the lecturer position, in addition to this, you will also have a small teaching load (up to 60 lecture hours spread over the 2.5 year period) and teach into our
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staff position within a Research Infrastructure? No Offer Description As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the
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Work Where You Learn: Build Experience, Grow Skills, and Contribute to Your University Community. This position is available only to enrolled American University students. Most student positions