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degree, in mathematics, applied mathematics, probability, statistics, physics, computer science or industrial engineering, or an equivalent qualification; (b) have solid mathematical background and strong
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the project; (b) collect relevant data for the project, including but not limited to crawling online data; (c) process the data collected and compile corpora from the data; (d) assist with qualitative
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VR-based tasks to study user cognition and creative performance; • process and analyse EEG data using advanced signal processing and machine learning techniques; • evaluate cognitive load
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, archival document retrieval and focus group facilitation; (c) assist in designing and administering questionnaire surveys and Fuzzy Delphi surveys; (d) process and analyse both qualitative and
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doctoral degree, in mathematics, applied mathematics, probability, statistics, physics, computer science or industrial engineering, or an equivalent qualification; (b) have solid mathematical background
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project - “Deep learning-based approach for process parameter optimization of SiC wafer under limited data”. He/She will carry out research in the areas of machine learning and data science, and also be
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Department of Applied Physics Postdoctoral Fellow / Research Associate / Research Assistant (Ref. 250507005) (1) Postdoctoral Fellow [Appointment period: twenty-four months] (2) Research Associate
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Department of Applied Physics Postdoctoral Fellow / Research Associate (Ref. 250507006) (1) Postdoctoral Fellow [Appointment period: twenty-four months] (2) Research Associate [Appointment period
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applications, mechanical design and physical tests, etc. For the post of Research Assistant / Project Assistant, applicants should have an honours degree in an appropriate discipline with at least two years of
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- “Environment and conservation fund - converting waste plastics into value-added products: process design, simulation, and feasibility analysis”. Qualifications Applicants should: (a) have an honours degree