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, cheating, or careless responding), (c) estimation methods for latent variable models (e.g., two-step approaches or approximate maximum likelihood estimation), or (d) meta-analytic models to address complex
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of Computer Science and affiliated with the Information Systems and Human–Computer Interaction (ISCHI) research group. Your immediate leader will be the unit leader of the Information Systems and Human–Computer
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contribute to the development of next-generation modelling frameworks that combine physics-based hydrodynamic modelling with artificial intelligence (AI) and data-driven methods to better predict contaminant
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is also a Principal Investigator at the Hylleraas Centre for Quantum Molecular Science, a Norwegian Centre of Excellence dedicated to the development and application of advanced computer simulations
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and vaccination registries to emulate target trials and apply advanced causal inference methods to estimate real-world vaccine effectiveness—particularly in pregnant women and other vulnerable groups
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certification authorities. Knowledge of experimentation and research methodology. Proficiency in quantitative research methods and familiarity with relevant computer programs, such as SPSS, SAS, or STATAl
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statistics. We are looking for a motivated candidate, with a deep interest in mathematical statistics, with a view towards developing new methods for uncertainty quantification. Starting date no later than
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Research Fellow in AI Methods for Creative Applications Apply for this job See advertisement About the position Position as Postdoctoral Research Fellow available at Department of Informatics, University
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of Oslo's vibrant team as a PhD Research Fellow in AI methods for innovative robotics! PhD Research Fellow in AI methods for robotic body-brain co-design Apply for this job See advertisement About the
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large datasets analyses Active participation in LALP Lab activities Required selection criteria You must have completed a doctoral degree in cognitive science or computer design/programming Training and