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learning techniques relevant to energy forecasting. 3) Technical Proficiency Skilled in tools such as Python, R, MATLAB, SQL, and Excel; familiarity with energy modelling software is a plus. 4) Domain
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: Design, optimise, and operate ultra-cold atom interferometry experiments for multi-axis acceleration measurements. Develop methods to suppress drift and enhance sensor stability for extended-duration
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. Teaching methods will include extensive use of team-based learning and e-learning. The appointee is expected to contribute to integration of the science relating to the broad area of Neuroscience
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impact through publications, presentations and media engagement. Undertake any additional duties as required by the centre’s Directors Job Requirements: PhD degree in behavioural sciences, public health
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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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Requirements: Has (or expecting) a PhD degree in the Social Sciences or the Science, Technology, Engineering, and Math (STEM), NOT necessarily in the data science or related fields. Has empirical and
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strategies to ensure collision-free navigation in dense settings. The ideal candidate will have a strong background in robotics, software development, mechatronics or related fields, and will contribute
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similar capacity, with some supervisory experience. Previous experience in working in a healthcare organisation is an advantage. Experience in Ex Libris Alma software system is an advantage. Good computing
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. Background in formal verification and programming language theory. Experience in interactive theorem proving and/or Web programming is valuable. Capable of handling multiple tasks across projects and research
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thermal management technology Skillfully use computational software to conduct multiphysical numerical analysis and model built-up for battery system Prepare technical requirements and design verification