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Materials Design - Develop and apply machine learning and AI models (e.g., ML interatomic potentials, generative design, reinforcement learning) to predict and design materials. - Perform first-principles and
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maintenance of equipment Provide mentorship and academic guidance to students Prepare and compile reports pertaining to the project. Job Requirements: PhD degree in Computer Science, Electrical and Electronic
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, practice and enterprise. About the opportunity A chance to lead a research or innovation programme: We are recruiting 8–12 researchers and innovators and giving them the time, support and institutional reach
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generation of accessible and expressive digital musical instruments. You will design, develop, and evaluate novel music and human-computer interaction technologies that combine wearable motion capture
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have an interest in substance use, posttraumatic and/or operational stress, suicidality, and artificial intelligence/machine learning (AI/ML). What will I be doing and why should I apply? As the selected
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the people who understand the problem, tested in realistic conditions and connected to decisions, practice and enterprise. About the opportunity A chance to lead a research or innovation programme: We
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functions, as well as visualisation of multi-sensor data. You will also support the optimisation of full-stack automated driving pipelines and contribute to the design and evaluation of novel perception
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Job Description Job Alerts Link Apply now Research Assistant (Computational Science and Machine Learning) University-Level Unit: College of Design and Engineering Faculty/Department-Level Unit
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. To collaborate with industrial and academic partners. To perform any other duties related to the research program. Job Requirements: Preferably PhD in Computer Engineering, Computer Science, Electronics
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privacy, machine learning, and applied cryptography. To produce research papers and reports as required by the funding body or for dissemination to the wider academic community. To provide guidance and