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This website uses functional and non-privacy invading cookies. Do you also accept the placement of other cookie types? More information. Ga naar de inhoud Faculty of Science FELIX Laboratory Contact Staff Zoek in de site... SearchSearch Subject Staff Toon zoeken MENU Uitgeklapt Home About FELIX...
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Please address your application to dr. Mengqing Wu and submit it, using the application button, no later than 10 December 2020, 23:59 Amsterdam Time Zone. Your application should include the following attachments: A letter of motivation. Your CV. BSc and MSc academic transcripts. The e-mail...
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semi-conductor sensor-based detector R&D. You will also be given the opportunity to get involved in our ATLAS physics analysis activities. We ask You must have (or be about to complete) a Master's degree
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scanning probe microscopy, as well as with ultra-high vacuum technology. A PhD in a topic related to condensed matter physics. A demonstrable track record of oral presentations at international conferences
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guiding PhD candidates and scientific staff. You will contribute to the development and execution of the teaching programme of the educational institute for Mathematics, Physics and Astronomy (WiNSt). HFML
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guiding PhD candidates and scientific staff. You will contribute to the development and execution of the teaching programme of the educational institute for Mathematics, Physics and Astronomy (WiNSt). HFML
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. Female candidates are therefore strongly encouraged to apply. We are The Faculty of Science (FNWI) at Radboud University Nijmegen is responsible for research and teaching in mathematics, physics
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with intellectual disabilities, home care and care for the elderly, in both the Netherlands and Flanders are in the process of redesigning their organisations. Many organisations have opted for self
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on consumers' wellbeing. In doing so, the project distinguishes three types of mHealth apps: mhealth apps for preventing physical illness or harm, mHealth apps for preventing mental illness or harm, and mHealth
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and system dynamics will be combined to create self-adaptive models that better capture the complexities of the elderly healthcare system, including the dynamics of physical and psychosocial factors