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, public policy, political science, environmental science, statistics, or another related field. PhD degree/diploma must be conferred prior to fellowship start date of 9/1/2025. An electronic PDF copy
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on bipolar solid state Na-ion cells fabricated as part of this project. Qualifications • Have completed PhD in Mechanical Engineering or Chemical Engineering or Materials Science & Engineering or
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scholars who have recently completed their PhD in economics, business, psychology, public policy, political science, environmental science, statistics, or related fields, and whose research interests include
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will have: A PhD* or equivalent qualification / experience in Electrical/Electronic Engineering, Signal Processing, or a closely related field. Proven experience in radar systems, radar signal processing
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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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skills connected to X-ray experiments, data analysis, AI/ML, and X-ray optical simulations Ability to work collaboratively with a diverse team of scientists and engineers. Desired Qualifications
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skills. c) Documents that must instruct the application: 1. Motivation letter; 2. Detailed Curriculum vitae in English according to the requirements of the application; 3. Copy of Bachelor Certificate
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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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scholars who have recently completed their PhD in economics, business, psychology, public policy, political science, environmental science, statistics, or related fields, and whose research interests include
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, conducting simulation studies, analysis of datasets from economic and social research studies, software implementation and delivery of workshops. The Research Fellow will be supervised by Prof. Jonathan