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integrated modelling. The key role of the candidate focusses on investigating and implementing neuromorphic algorithms algorithms to dedicated photonic reconfigurable systems. Job is in the context of EU
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in Spring 2027. The successful candidate will be able to teach one of the undergraduate courses related to AI/ML, programming languages, data structures and algorithms, operating systems, network
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of hematologic disorders and brain development, 2) develop and implement computer algorithms for analyzing data acquired in a neuroimaging-focused, neuroscience lab and 3) aid in data collection. The position also
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Posting Details Student Title Classification Information Quick Link https://chapman.peopleadmin.com/postings/41193 Job Number SE240424 Position Information Department or Unit Name Fowler School
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Development of scalable numerical algorithms for systems containing large numbers of lasers and optical modes An important component of the project will be determining how numerical algorithms and existing
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 10 days ago
frameworks, integrating frugal AI algorithms Participate to the experimenta validation of teh implemented solutions Write reports Test, change up until validation Where to apply Website https://jobs.inria.fr
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optimization algorithms, machine learning, explainable AI and interactive visual interfaces, enabling patients and healthcare professionals to understand, steer and collaborate with AI-supported decision tools
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(http://ori.ox.ac.uk/labs/goals/) within the Oxford Robotics Institute (ORI), as part of the EPSRC Programme Grant in Embodied Intelligence (https://embodiedintelligence.web.ox.ac.uk) and other follow
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postdoctoral researcher with a solid background in one or more of the following areas: game theory, optimization algorithms, and numerical methods. The successful candidate will develop efficient algorithms and
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within a Research Infrastructure? No Offer Description The research program aims to develop models, algorithms, and architectures for implementing Digital Twin-enabled Smart Ecosystems, with a particular