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live in. Your role This position is inside the SPETRA doctoral training unit which investigates new materials, methods and concepts for converting sunlight into usable energy sources. Inorganic
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particular focus on digital methods and tools. The C²DH's ambition is to venture off the beaten track and find new ways of doing, teaching and presenting contemporary history of Luxembourg and the history
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with privacy by developing techniques that optimize both aspects. The candidate will perform the work together with a team of postdoctoral researchers who are experts on the field and other PhD student
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fields with a socio-technical background Interest in data anonymization and/or technology law will be considered an asset Interest in applying methods commonly used in information systems research (e.g
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and very good knowledge in quantitative and qualitative research methods Good knowledge of statistical software (e.g. SPSS or STATA or R or JASP) Strong commitment and the ability to work in a team
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Master in Experimental Psychology, HCI, UX or related fields Experience with research methods in social sciences (e.g., empirical research, experiment design) Experience in statistical methods is
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, and in time are expected to master both. As formal qualification you must hold a PhD degree (or equivalent) in food science and technology. You will be assessed against the responsibilities and
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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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activities will include supervision of student projects at different levels (BSc, MSc, PhD) As formal qualification you must hold a PhD degree (or equivalent). You must contribute to the teaching of courses