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computational chemistry, reaction network analysis, and machine learning for organometallic catalytic reactions. 2. Design of membrane-permeable macrocyclic peptide drugs via machine learning structure
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training of excellent researchers through international mobility, advanced training, and interdisciplinary and inter-sectoral collaboration. The programme is designed to enhance the creative and innovative
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building professional networks across multiple agencies in Singapore and possibly overseas. The successful candidate will join an active and supportive team that enjoys working together collaboratively
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Qualifications : Doctoral level degree in Economics, Bioinformatics, Biostatistics, or related quantitative analytical field is required. Excellent communication, teamwork and collaboration, organizational, and
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. To advance the mission and serve their purpose, the USDA Forest Service balances the short and long-term needs of people and nature by: working in collaboration with communities and our partners; providing
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the research group. The post offers opportunities to learn and be trained in molecular biology techniques alongside their synthetic chemistry work. You will also help supervise and mentor MSc and PhD students
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$10.6 billion in economic impact to the city and $22.7 billion to the state of Ohio. At UC, next is all of us. Learn more at uc.edu. UC is a mission-driven organization where we are committed to student
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fields. Individuals in this position will perform technical work supporting the collaboration's scientific research. Research Title: Postdoctoral Researcher Applying Machine Learning Methodologies
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, machine learning, and life cycle assessment, we aim to create sustainable wearable systems to enhance human well-being. For more details, please view https://www.ntu.edu.sg/mse/research . We are seeking a
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and data collection, analysis and evaluation, and writing reports which contain descriptive, analytical and evaluative content. The purpose of this role is to acquire the professional skills needed