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: A PhD in Physics, Computer Science, Mathematics, Machine Learning or relevant fields. Strong publication record in top conferences/journals, such as Nature Physics, Nature Communications, PRL, T-PAMI
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The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational
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administrative work associated with the program of research as necessary. Job Requirements: PhD degree in communication, psychology, sociology, or a social science related discipline. Strong foundation in survey
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model reliability and predictive confidence Publish high-quality scientific results in Tier-1 journals Job Requirements: A PhD degree in Mathematics, Computer Sciences, or related areas, with focus
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AI technology for the robotic system. Perform testing and validate the performance of the developed gripper system. Job Requirements: PhD Degree in Mechanical Engineering, Electronic Information, Data
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and beyond. Candidate Profile We welcome applicants with diverse backgrounds in experimental or computational biology who are excited by pioneering research directions. Qualifications PhD in molecular
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Requirements: Preferably PhD in computer science or related field. Expertise in computer programming Knowledge in machine learning Proven research ability as evidenced through a portfolio of publications and/or
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. • Join journal clubs. • Conduct a wide range of neural network analysis Job Requirements The project requires a researcher with a • PhD in Computer Science, Biostatistics, Statistics or other related
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projects that leverage our optical expertise to probe brain function Preferred Qualifications & Expertise: PhD in neuroscience, bioengineering, computational biology, or related field At least one strong
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) Programme is focused on understanding the structure and function of the nervous system, and the neural mechanisms underlying human neurological, psychiatric and ophthalmological disorders. The laboratory