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-reviewed academic publications, including the project’s own edited volume. You will also be participating in meetings and proceedings of the Project Team; and organizing (or co-organize) expert meetings and
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, from fellow academics to patients. You have experience with analysis of sensor data. You have an affinity for patient care and are able to communicate with patients. You have a good command of written
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per km up to a maximum of 40 km each way. Do you prefer walking or cycling? Take advantage of our good bike scheme. Moreover, you will receive a reimbursement of €0.18 per km. Watch this video with
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, or related tools). Good communication skills in English. Experience with complex systems, energy landscapes, physical memory, machine learning, or soft/active matter is advantageous but not required. We
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-organize) expert meetings and a symposium, with collaborative support where needed from the team members. We welcome a project team member who brings experience and curiosity to a growing project team and
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R or Python). Good-to-have: You have experience working with large-scale text or visual data, or datasets related to history or culture. You tackle complex data challenges with curiosity and are
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engineering with excellent records in life sciences or related areas. Experience with biomolecular condensates is a plus. Decent publication record including first author publications. Good written and verbal
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have good interpersonal and communication skills and should be able to work in a multi-cultural environment, both independently and as part of a team. Your motivation, overall professional perspective
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days off. With full-time employment, you can choose between 30 or 41 days of annual leave instead of the statutory 20. Additional employment conditions Work and science require good employment practices
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of annual leave instead of the statutory 20. Additional employment conditions Work and science require good employment practices. Radboud University's primary and secondary employment conditions reflect