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We are looking for a motivated PhD candidate in the social and behavioural sciences with a quantitative background for the project “Technostress amongst teachers in primary education”. The aim
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attendance of courses and (international) meetings. We also expect you to assist in teaching undergraduates and master students. The gross monthly salary, based on 38 hours per week and dependent on relevant
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through publication in academic journals and participation in academic conferences; Participate in the Faculty of Science PhD training programme; Assist in teaching undergraduates and Master students
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profile We are looking for an enthusiastic and driven candidate who meets the following requirements: Educational Background: You should have a Master's degree in a field relevant to the position, such as
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that represent the gut and oral microbiome for prediction of interventions that could benefit infant health; • to contribute to the teaching effort of the group, including supervision of bachelor and master
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on three groups: adolescents, cohorts, and immigrants. This project will rely on primary and secondary survey data, and holds the option for the PhD candidate to design a survey experiment. Panel data will
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? Your experience and profile You will have: a first master degree or equivalent in computational science, computional biology, computational (bio)physics, applied mathematics, or an allied field; research
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via use cases and state-of-the-art baselines. Your profile The candidate should have a master degree in computer science or relevant disciplines and fluently speak and write English. Specifically, we
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research are particularly welcome. The projects should entail conducting original empirical research on food production models that foster sustainable labour practices, ecological sustainability, social
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experience and profile Formal requirements: Masters’ degree (preferably a Research Master´s or MPhil degree) in Marketing or a related field; GMAT or GRE score of no more than five years old (for students with