22 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "The Institute for Data" positions at Maastricht University (UM) in Netherlands
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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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information can be found via https://www.maastrichtuniversity.nl/research/institutes/amibm/research/ Research group Sustainable Polymer Synthesis Main research focus is on the design and synthesis
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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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for Technology-Inspired Regenerative Medicine (http://merln.maastrichtuniversity.nl/) as part of the DRIVE-RM project. The computational group led by Aurélie Carlier focuses on multiscale computational modelling
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Global Order” research programme. You will teach across our BA and MA degree programmes. You will also be part of the Dutch national-level humanities and social sciences sector plan “Societal Inequality
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policies and innovative projects led by teams of staff and students. We encourage you to apply for this position. Where to apply Website https://www.academictransfer.com/en/jobs/357563/phd-student-on-deep
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students. We encourage you to apply for this position. Where to apply Website https://www.academictransfer.com/en/jobs/357564/phd-student-on-hemodialysis-acc… Requirements Additional Information Website
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motivated to learn new techniques and maintain positive working relationships. Prepared for a dynamic research environment – You are willing to travel for research secondments and to work flexibly when needed