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outside the life sciences (e.g., in physics, chemistry, mathematics, engineering or computer sciences), who have not worked in the life sciences before. Both fellowships provide three years of salary and
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theoretical statistics, statistical machine learning, high-dimensional inference, empirical process theory, stochastic modeling, optimization, or related areas. • Experience with writing and developing
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• A PhD degree in Materials Science, Chemistry, Chemical Engineering, Physics, or a related field. • Experience or strong interest in rechargeable battery research, particularly sodium
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analyses. Learning Objectives: By collaborating closely with members of our interdisciplinary research team, you will gain invaluable hands-on experience to all phases of the research process. You will
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should have: (a) a doctoral degree or an equivalent qualification in Materials Science, Chemistry, Physics, Chemical Engineering or a related discipline and must have no more than five years of post
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: The post holder will process genomic and multiomic data (including quality control, pipeline maintenance, GenePy score generation) to facilitate personalised diagnostics. They will perform and contribute
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The School of Physical and Mathematical Sciences (SPMS) at NTU Singapore hosts research and education activities in two divisions: Division of Mathematical Sciences (MAS) and Division of Physics and
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transformation (GenAI, decision intelligence, process automation) Digital platforms & ecosystems, venture building, scaling AI and Data-driven operations, service transformation, responsible innovation
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transition to Net Zero. You will be responsible for developing novel numerical methods to model continuum problems in a two-liquid/granular medium and for interpreting the results physically. These models will
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the automated system until 10pm of the closing date. Any queries regarding the application process may be addressed to [email protected] . Please quote reference EPH-EPED-2025-14-R. The supporting statement