512 machine-learning "https:" "https:" "https:" "https:" "The Open University" PhD research jobs
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Science. Commitment to undergraduate and graduate education. Demonstrated expertise in machine learning/deep learning and software development (Python; PyTorch/TensorFlow). Peer-reviewed publications and strong
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languages would be beneficial. Willingness to use multimedia teaching methods: You are prepared to use multimedia learning and teaching formats. IT-skills: Good IT skills and ideally familiarity with new
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and research project management. 15%: Data Collection and Distribution Utilize basic computer skills to log data, conduct routine computer analysis of research data, and contribute to scholarly
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experimentally verified results is a necessary: Research Topics: Learning-Based Autonomous Systems for Field Robotics Reinforcement learning-based navigation Multi-agent coordination and communication-aware
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certificate, and other certificates/grades that you wish to be considered. Where to apply Website https://lu.varbi.com/en/what:job/jobID:886099/type:job/where:39/apply:1 Requirements Research
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The University only accepts online application for the above post(s). Applicants should apply online at the University’s Careers site (https://jobs.hku.hk ) and upload an up-to-date C.V. Review of applications
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integrating biomedical, epidemiological, or environmental data. Must show solid skills in computational modeling, multivariate statistics, and/or machine learning. Proven proficiency in the English language
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learning opportunities equip students for the demands of the 21st century. We are distinguished by a rare collegial culture emphasizing teamwork, problem-solving, leadership, and persuasion. The Law School
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/2018 , of August 16th and the Ministerial Order nr. 33/2019 , of January 25th. The presentation of such Recognition is mandatory for contract signature. More information can be obtained in: https
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for patenting processes is an advantage. VI - Application Instruction The application must be completed by filling in the respective application form, which is available at https://www.fct.unl.pt/en