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are looking for motivated candidates who can bridge system modelling, control and optimization with psychological theories and are confident with calculus, probability, statistics, control, and optimization. In
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, the department is actively engaged in advancing statistical models and software development for analyzing cross-sectional, longitudinal, and multilevel network data. The ideal candidate will be an early-career
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-based statistics, Computational Biology, and expertise in Analytical Chemistry, Biomedical Sciences, or a related field, would be a plus. The main required expertise and skills are Bioinformatics analysis
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and various Nobel prize winners. Qualifications We are seeking a candidate with a PhD in Bioinformatics, Machine learning and AI-based statistics, Computational Biology, and expertise in Analytical
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emerging adults. These models are tested using extensive longitudinal data sets. In addition, the department is actively engaged in advancing statistical models and software development for analyzing cross