115 parallel-computing-numerical-methods Fellowship positions at National University of Singapore
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interrogate appropriate experimental systems, while monitoring insights arising from parallel genetic, biochemical and molecular work in disease models at A*STAR. Qualifications A PhD in cell biology
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for Quantum Technologies (CQT) in Singapore brings together physicists, computer scientists and engineers to do basic research on quantum physics and to build devices based on quantum phenomena. Experts in
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presentations. Experience using R or Python and with strong command of advanced statistical methods, computational modeling, and/or NLP methods, is an asset. More Information Location: Singapore Organization
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within the team under the Principal Investigator Assistant Professor Borame Dickens alongside multiple collaborators and experts. Methods include agent based/individual based modelling, SEIR modelling
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program aimed at developing a better understanding of how aging beliefs and mortality expectations may influence economic decision-making among individuals and households. The Principal Investigator
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Research grant application Supervise postgraduate student projects Support the teaching programme in the department and medicine school Main Duties and Responsibilities The Research Fellow will be able
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on mechanistic empirical pavement design and balanced mix design standard development. • Model pavement behaviours using analytical and numerical methods with the end goal in modification of mechanistic
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practices in the fields of biology. Principles, techniques and terminology used in cancer biology. Methods of scientific research and relevant scientific theories. Appropriate computer operations, software
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using advanced methods. Research Preparation: Lead and assist in preparing research studies, grant proposals, ethics applications, and presentations. Research Management: Coordinate research activities
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computational statistics or machine learning is optional but highly relevant) ● Proficiency in programming languages (R, Python, C++, Java or Julia). ● Experience with mathematical and statistical methods applied