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science, machine learning, artificial intelligence, or a related field. Candidates with a PhD may be considered for a Research Fellow position instead. Prior experience with video data visualization research will be
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of Electrical and Computer Engineering (ECE) at the National University of Singapore (NUS) is seeking a candidate at the rank of Lecturer (Educator Track) to teach electrical and computer engineering courses
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of Electrical and Computer Engineering (ECE) at the National University of Singapore (NUS) is seeking a candidate at the rank of Lecturer (Educator Track) to teach electrical and computer engineering courses
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: Python, R, Java, C++, C#.Net, SQL. Proficiency in using Business Intelligence tools (e.g. Power BI, Tableau or Qlik Sense) Experience in applying machine learning techniques and designing algorithms
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Responsibilities: Conduct research in the domain of real-time scheduling and resource allocation problems for machine learning pipelines deployed in safety-critical cyber-physical systems. Close collaboration with
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adolescents and other related inquiries. Requirements Essential A Master’s Degree in Learning Sciences, Education, Psychology, Data Science, Educational Neuroscience or a related field; Applicants with a PhD
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Job Description Job Alerts Link Apply now Job Title: Research Associate in Machine Learning and Artificial Intelligence (ML/AI) Posting Start Date: 15/04/2025 Job Description: The Role
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to design and implement or use generative models targeting RNA, DNA, and cellular systems, Computational biology, to develop/use the latest machine learning strategies and computational analytics to analyze
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, Machine Learning, Artificial Intelligence and Kinematics and dynamics. Autonomous systems, Robotics and Automation. Industry 4.0 and Internet-of-Things. Advantageous to have prior knowledge in: Hands
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, analysis, computation, and machine learning. Postdoctoral positions Applicants for postdoctoral positions are expected to have a strong background in mathematics with a PhD degree in mathematics or a closely