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testing data Development of machine learning models for battery health assessment and remaining useful life prediction Job Requirements: PhD degree in Electrical Engineering or related subjects. Expert
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Performing CO2 adsorption and mixed-gas separation performances Job Requirements: PhD from a reputable university in the field of chemistry, chemical engineering, materials science or other related disciplines
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Responsibilities Designing and managing a programme of research to meet agreed objectives. Working closely with experimental and data scientists in the group to ensure the progress of the project. Oversee
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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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+ VR for Education curriculum To organize AI + VR for Education activities Job Requirements: PhD degree from a reputed university with an interdisciplinary nature Has experience on AI and VR development
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to the applications of mathematics in cryptography, computing, business, and finance. PAP covers many areas of fundamental and applied physics, including quantum information, condensed matter physics, biophysics, and
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reports and presentations for meetings, progress reports and conferences Any other tasks as requested by the Investigator Job Requirements: PhD in engineering or relevant discipline Demonstrated strong
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team Work closely with the rest of the SGFIN team to support SGFIN’s activities and objectives Requirements Academic background in the following subjects is preferred: computing, information systems
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sorting, NGS, and bioinformatics data analysis - Assist with the planning and execution of the entire project - Mentor to Research Assistant when needed Qualifications • Qualifications / Discipline: PhD in
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Researcher (R1) Country Singapore Application Deadline 18 Oct 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU