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application; (b) a solid foundation in statistical analysis, with good programming and engineering capabilities, strong knowledge of quantitative business practices, and familiar with frontier AI
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– “EnergyKnow: Knowledge-driven smart building energy management with heterogeneous energy systems”. He/She will be required to: (a) develop and integrate knowledge-graph and AI methods for heterogeneous
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outcomes. Contribute to knowledge exchange activities with external partners and collaborators.
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To lead academic research on cognition in study cohorts, conduct data analysis and write scientific manuscripts and grant applications. To provide supervision to junior staff in academic and non
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to the creation of knowledge of the underlying immunology of PTLD through identification of immune-based biomarkers within the generated datasets and through integration of the laboratory data with patient clinical
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1. Possess a Ph. D Degree in Electrical Engineering with strong knowledge in semiconductor device technology and process. 2. Strong knowledge in semiconductor device physics. 3. At least 4
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and analysis, and the publication and dissemination of knowledge related to the initiatives. They will be required to: (a) act as a project manager to assist the project leader in the administration
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organisational settings. Applicants should have a MSc degree or PhD in psychology, neuroscience, cognitive neuroscience, or a closely related discipline. Previous experience collecting and analysing EEG data is
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for children. Requirements: PhD in Developmental Psychology, Education, Child Development, Learning Sciences, or a related field. Strong knowledge of developmental science and experience conducting systematic
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Engineering, Materials Science, Chemistry, or a related discipline. Strong knowledge of heterogeneous catalysis, catalyst synthesis, and catalyst characterization. Experience in catalyst scale-up, formulation