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/ Materials Science/Physics Encourage initiating activities on battery development, devising, and analytic process Experience on machine learning will be preferred Good oral and written communication skills
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-economic assessment and life cycle analysis methodologies. • Proficiency with modelling and simulation software relevant to TEA and LCA. • High analytical ability to analyse and illuminate data
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multiple stakeholders. - Excellent analytical abilities and academic writing skills. - Familiarity with, or teaching experience in, the Singapore education system is highly advantageous. Responsibilities
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health challenges through innovative software solutions. Our research focuses on inferring the causal processes that underlie diseases in diverse populations. Our analytical processes have historically
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for automatic statiscal analyses of a large number of associations (screening) Use analytical methods within causal inference in observational studies to investigate assosiations between drug use and risk of
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analytical techniques, with a focus on quantifying energy output and sensitivity to initiation by external stimuli. The project will be jointly supervised by Prof. Colin Pulham in the School of Chemistry at
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associations (screening) Use analytical methods within causal inference in observational studies to investigate assosiations between drug use and risk of developing MS and assosiations with prognosis among
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)30157-0/fulltext).¿The mission of the collaboration is to accelerate research and development into immune-related diseases by applying cutting edge analytical technology and analytical expertise
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natural fracture cements using a range of analytical techniques. In addition, you will perform post-mortem microstructural and microchemical analyses of fracture cements in samples deformed in laboratory
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and analytical thinking for research challenges. Flexibility in adjusting research direction as needed. Knowledge of energy storage systems and electric drives Coding experience. Math and optimization