28 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "University of Waterloo" positions at Maastricht University (UM) in Netherlands
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, and behavioral intervention using both quantitative and qualitative approaches, including field studies and stakeholder participation. More information can be found here https
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. The project is jointly supervised by Dr. Tarikere Niranjan (https://niranjangroup.weebly.com/prof-tarikere-t-niranjan.html ) and Dr. Emir Efendić (https://eefendic.com ) and examines how decision-makers in
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. Our PhD program is ranked #1 in Europe according to the BYU ranking. http://www.byuaccounting.net/rankings/phdrank/rank_phd_cnt.php?sortorder=ranking306&qurank=All You’ll work in an environment
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lectures, serve as tutor in our Problem Based Learning meetings, supervise bachelor and master theses. Furthermore, you will contribute to the group’s management tasks (e.g. participation in ethical review
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. We work from our ‘UM Library DNA’: our shared foundation for development and collaboration. The UM Library DNA guides how we learn, innovate, collaborate and communicate. Together, we are building
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. You have demonstrated experience in course coordination, teaching innovation, and thesis supervision. You encourage active student participation and value team teaching within our Problem-Based Learning
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will actively contribute to our interdisciplinary profile and play an important role in our teaching and research portfolio. You will teach in or lead both theoretical courses and practical sessions
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their entrepreneurial spirit and to grow alongside us. We work from our ‘UM Library DNA’: our shared foundation for development and collaboration. The UM Library DNA guides the way we learn, innovate, collaborate and
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teaching, we use the Problem-Based Learning (PBL) method. Students work in small groups, looking for solutions to problems themselves. By discussing issues and working together to draw conclusions, formulate
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integration and knowledge representation (e.g. FAIR data, semantic interoperability, ontologies, knowledge graphs); Machine learning and generative AI for health (e.g. multimodal patient modeling, predictive