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; you will communicate findings in meetings, publications and international conferences. Essential requirements: academic degree (MSc/PhD) in a relevant field (e.g., computer science, bioinformatics
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students) Contribute to the friendly, welcoming, and collaborative environment within the group Your profile A MSc in the biological sciences, bioinformatics, or related disciplines. Candidates in the final
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the workpackage team and collaborating with partners across Europe: data sharing, code exchange, joint publications. Your qualities You hold a PhD (or near completion) in statistics, applied mathematics, data
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links between online polarization and a multidimensional perspective on mental health and wellbeing. Using advanced methods in statistical modeling, NLP, HCI, and experimental design, it will also test
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(e.g., based on physiological signals or direct inputs from occupants) and developing algorithms, including machine learning methods. The work will include statistical modelling, data-driven modelling
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supervision experience at the BSc and MSc level Interest and experience in developing competitive national and international research applications Experience in programming languages (e.g. Python/R) and
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the workpackage team and collaborating with partners across Europe: data sharing, code exchange, joint publications. Your qualities You hold a PhD (or near completion) in statistics, applied mathematics, data
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supervision experience at the BSc and MSc level Interest and experience in developing competitive national and international research applications Experience in programming languages (e.g. Python/R) and
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including supervision of BSc and MSc students associated with the project As a formal qualification, you must hold a PhD degree (or equivalent). In the assessment of the candidates, consideration will be
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statistical modeling, NLP, HCI, and experimental design, it will also test interventions, such as visual cues, to reduce harm and foster healthier browsing, delivering actionable insights for policymakers