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Field
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methodologies (longitudinal designs, moderation and mediation, causal inference), library research (Pubmed searches, systemic review methods), and statistical analysis (data visualization, descriptive analyses
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methodologies (longitudinal designs, moderation and mediation, causal inference), library research (Pubmed searches, systemic review methods), and statistical analysis (data visualization, descriptive analyses
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experiments. Experience in biometric sensing or acoustic signal analysis would be an advantage. We regret to inform that only shortlisted candidates will be notified. Hiring Institution: NTU
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. Experience with survey and administrative data on household conditions, with a focus on poverty, the analysis of inequality, and income dynamics. Knowledge of the tax system and social transfer programs in
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support this fellowship for 0.3 FTE of your time (i.e. 1.5 days per week) The role will include elements of the following, along with general support for the two projects: Fieldwork planning to include risk
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and Analytics, Education, Psychology, Social Sciences) Applicants with master’s degree in relevant discipline are also invited to apply Proficiency and experience in conducting social network analysis
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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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mastication simulators into a 3D Principal Component Analysis (PCA) space, enabling quantitative comparison between cultivated meat and conventional animal meat, and identify key textural descriptors defining
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learning, large-scale model optimization, and generalization. To explore scalable optimization methods for large-scale, distributed, and multi-node collaborative training. To conduct theoretical analysis
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diabetes For disease Interception) (https://www.edent1fi.eu ). The research fellow is sought to support the UK component which is linked to the existing T1D screening program scaled up nationally by