144 evolution-"https:"-"https:"-"https:"-"https:"-"https:"-"Keele-University" Fellowship positions in Singapore
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Excellence Development of innovative clinical trial protocols to investigate the effects of NAD+ precursors and other geroprotectors on aging and age-related diseases Evaluation and validation of new
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for the position of Research Fellow to join our team and contribute to our research in advanced 2D TMDC material. As a Research Fellow, you will contribute to the development, integration, and characterization of 2D
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boundaries of AM material innovation and supports NTU’s commitment to sustainable and impactful technological development. Key Responsibilities: Design, synthesise, and characterise composite materials
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will lead the research and support team that conducts clinical trials and manages day-to-day operations. Key Responsibilities Clinical Trial Innovation and Excellence Development of innovative clinical
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with project timeline and resource requirements Development of data collection and storage framework Plan and perform the collection of information from various alternative, non-traditional data sources
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research strategic development and securing funding Support research data management and documentation Job Requirements: PhD degree in Mechanical/Electrical Engineering or related field At least 1 years of
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quantitative research methods, statistical analysis, and computational techniques; proficiency in programming languages such as Python, statistical software such as R, and basic AI/ML development Independent
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, at global-, system-, hospital-, clinical pathway- and product-level. Supervise a growing team, providing guidance, mentorship, and oversight to ensure high-quality work. Research development, grant
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, genetics, assay development, and cell-based screening to support chemical optimisation and target validation efforts. This work will directly contribute to the characterization of new inhibitors, elucidation
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science development Design, develop, and validate machine learning models for skill inference, mastery estimation, and personalized feedback, including Bayesian approaches, sequence models (for example LSTM