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of aging and lifespan development Interest in studies of ambulatory assessment Good knowledge of and interest in quantitative methods (e.g., multivariate analyses, longitudinal analyses, multilevel analyses
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datasets using both traditional methods (e.g., factor analysis) as well as more modern approaches (e.g., deep learning). The goals are to develop new computational methods that allow the scientific inference
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of ambulatory assessment and very old age Good interpersonal skills and interest of working with older adults Good knowledge of and interest in longitudinal quantitative methods (e.g., multivariate analyses
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. To do this, knowledge or willingness to be trained in advanced statistical modelling, ideally with an interest in methods for causal inference in observational data, is strongly preferred. Using various
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. The project is led by Heiko Schütt and will employ one PostDoc and one PhD student. About the role... You will develop new Bayesian methods to compare deep neural network and other artificial representations
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funded through the EU Research Framework Programme? Other EU programme Reference Number PhD student - Extending the Event-B Method to Support Modul Is the Job related to staff position within a Research
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highly motivated to contribute to the national, international and comparative knowledge base in the areas of experiential education, teacher professional development, didactics and/or links between formal
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and PhD candidates about the administrative steps to be undertaken prior to arrival at AMU and the various practical formalities to be completed once in France: visas and entry requirements, insurance
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short literature review, an overview over the methods and data that you aim to use The names of two referees Early application is highly encouraged, as the applications will be processed upon reception
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the project members of the SAIF project (Safe Artificial Intelligence through Formal Methods), of the French National Research Programme on Artificial Intelligence PEPR IA. AI is now embedded into a number of