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for recognition of planetary materials from multispectral datasets. Interns are sought to contribute to the ongoing development of Machine Learning algorithms for recognition of planetary materials from
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projects, develop grant applications, supervise PhD and postgraduate students, and strengthen our teaching. Job description Your responsibilities will include: Developing an externally funded methodological
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of translation is crucial for controlling protein levels and guiding development. In the Ruijtenberg lab, we study these mechanisms using a combination of genome-wide sequencing and single-molecule imaging
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Division, Systems Department, Directorate of Technology, Engineering and Quality. The Future Engineering Division, in support of the programme directorates, is responsible for developing and providing
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Infomatter group at AMOLF. The SMIP project aims at revolutionising computing by developing adaptive, smart materials that combine memory and learning directly within their structure, uniting theory and
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. The candidate will develop tools to measure the impact of CLMA interventions on both educators’ and students’ proficiency in this crucial, future-oriented competency. CLMA is a competency that enables individuals
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Use your heterogeneous catalysis and/or polymer science background and join us in developing a new chemical pathway for recycling plastic waste via mechanochemistry! Your job You will use your
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a key role in the guidance and development of complex (inter)national consortium grant applications, personal grant applications, and contract research. You will become part of a small, dynamic team
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programmes. Business schools around the globe and increasingly in the Netherlands have been playing a strong role in management and leadership development by providing Executive (MBA) education and non- degree
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Are you passionate about learning and development? Do you thrive on innovation and want to make a real impact—both within a team and for clients around the world? We're on the lookout for a dynamic