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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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and educational issues with the common goal of contributing to an inclusive, open and resourceful society. Your role The topic of the PhD will be related to research carried out in our group, focusing
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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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referee A brief (around 500 W) sketch for a potential PhD project (research question, a short literature review, an overview over the methods and data that you aim to use), related to the design and topics
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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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and non-formal education. Responsibilities: Independent work on developing a PhD proposal, collecting data, and coordination of publishing activities Collaboration and support of general activities in
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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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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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research and language skills and prior experience Curriculum Vitae Degree certificates and transcripts A 3-page research proposal that presents your research project for the PhD: your research question, a
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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