64 machine-learning "https:" "https:" "https:" "https:" "https:" "Mines Paris PSL" research jobs at Hong Kong Polytechnic University
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or an equivalent qualification. For all posts, applicants should also: (a) have solid experience in electric machines, finite element methods and theory of electromagnetic files; and (b) be able to complete
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the research project - “Advancing generative AI algorithms for haptic rendering: bridging human-computer and human-robot interactions”. Qualifications Applicants should have a doctoral degree or an equivalent
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Department of Computing Research Assistant (Ref. 260114018) [Appointment period: six to twelve months] Duties The appointee will assist the project leader in the research project - “KCube learning
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Interaction, Interactive Computing, Product/Industrial Design or a related discipline and must have no more than five years of post-qualification experience at the time of application. Applicants
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project - “Advancing generative AI algorithms for haptic rendering: bridging human-computer and human-robot interactions”. Qualifications Applicants should have an honours degree or an equivalent
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The appointees will assist the project leader in the research project - “Dynamic variable selection through reinforcement learning”. Qualifications Applicants should have an honours degree or an equivalent
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the project leader in the research project - “CultureCraft: scenario-based learning with conversational AI agents to enhance intercultural communication competence”. He/She will be required to: (a) design
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-driven preference learning method for multi-criteria sorting analyzing uncertainty”. Qualifications Applicants should have an honours degree or an equivalent qualification. Applicants are invited
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development platforms capable of ingesting, curating, and continuously learning from multi-center hepatocellular carcinoma datasets; (c) create innovative algorithms/systems based on the hepatocellular
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appointment] Duties The appointees will assist the project leader in the research project - “CultureCraft: scenario-based learning with conversational AI agents to enhance intercultural communication competence