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, written communication skills In-depth knowledge relevant to the project domain. Demonstrated capability to conduct innovative research. The ability and willingness to adapt and incorporate novel ideas and
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Safety research, inlcuding AI authenticity, accountability, and integrity of digital content. Strong knowledge of machine learning and deep learning techniques, including machine unlearning, and AI testing
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. The applicant will be offered flexibility in terms of specific research direction and career development. PURPOSE AND MAIN ROLES The incumbent will have access to cognitive neuroscience data (including EEG and
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physics Demonstrated experience in computer sciences Demonstrated experience in handling large size database Knowledgeable in theoretical physics, and at minima basic knowledge in theoretical plasma physics
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planning. b) Have knowledge of statistical computing, data science, data modelling, or data visualisation languages and software (e.g., PowerBI, Python, R, SAS, SPSS, SQL, Tableau, etc.) c) Have experience
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are expected to develop and contribute domain knowledge, research skills and expertise at the host university while fulfilling the requirements of the CCDS IPF. They will also actively seek out collaborative
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Chang Man Research Fellowship in Biodiversity and Leo Tan Research Fellowship in Biodiversityaim to attract postdoctoral researchers who have a passion to advance our knowledge and understanding
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applications. Job Requirements: PhD in Materials Science, Chemistry, or relevant field Excellent skillsets in peptide synthesis and self-assembly Advanced knowledge of coatings and interfaces Basic knowledge
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; Conducting cost-benefit and LCA analysis of the material developed. Job Requirements: Extensive knowledge on carbon material enhanced concrete/geopolymer material PhD degree from a renowned university in
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, geological engineering, grouting expert, numerical analysis specialist and/or experienced fieldwork specialist. Have good knowledge of geotechnical engineering, microbiological engineering, geological