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well‑developed social skills that enable effective collaboration within a team, and you are driven by curiosity, resilience, and a continuous desire to learn and innovate. Moreover you have: MSc in
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different case studies and communities, and how they can support engagement with ethically sensitive and contested pasts. The project will be conducted in collaboration with academic and societal partners
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PhD candidate on Interprofessional Learning and Team Resilience through the Electronic Health Record
Learning Used in Sync), a practice-oriented collaboration between the Faculty of Health, Medicine and Life Sciences (FHML) and Maastricht University Medical Center+ (MUMC+). The project supports
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Vacancies Scientific programmer of libraries on testing and learning in Haskell and Python Key takeaways As a scientific programmer, you will support the development of software from a technical
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systems increasingly provide personalized recommendations in domains such as nutrition and lifestyle. However, many recommender and prediction systems rely heavily on opaque machine learning techniques
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diversification and change we see across languages today. Job description This 4-year PhD project will use group communication games and artificial language learning experiments to investigate the role of social
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track record in one or more of the following fields: (1) human-computer interaction, collaborative AI, (2) Generative AI/machine learning, (3) interaction design, experimental design, or evaluation
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)science, be supervised by Dr. Nicholas Judd, and be embedded within Professor Kievit’s lab. They will work with international collaborators to capitalize on the recent rapid increase in the availability
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collaborate with experienced faculty members in developing and delivering courses at the BSc, MSc, and/or postgraduate MBA levels. RSM has a dedicated Learning Innovation Team, which supports faculty members in
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support in the Section’s fields of expertise, in full collaboration with the functional managers; Actively contributing to increasing the agility and flexibility required to meet project resource needs