247 virtualization-"https:" "https:" "Colorado State University" PhD positions in Netherlands
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imaging with DUV spectroscopy and nanophotonics at the absolute limits of spatial resolution and sensitivity. We have a clear yet ambitious goal: To develop the most sophisticated and versatile DUV imaging
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chapter and contribute to other writing projects as required due to the collaborative nature of the project, regular physical presence is expected Where to apply Website https://www.academictransfer.com/en
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about working at TU/e? Please visit our career page. Website for additional job details https://www.academictransfer.com/359918/ Work Location(s) Number of offers available1Company/InstituteTU
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? Please view the video . Are you inspired and would like to know more about working at TU/e? Please visit our career page. Website for additional job details https://www.academictransfer.com/359911/ Work
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curiosity for and have an open mind about the experiences of others. Strong communicator: You are able to enthusiastically communicate about the project and its goals, and possess good communicative skills
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academic community. Questions? For questions about the position or department, you can contact us during office hours at: Gulnaz Sibgatullina : g.r.sibgatullina@uva.nl Application If you recognize yourself
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environment, and with excellent writing skills in English. You are passionate about science and interested in synaptic plasticity processes that drive memory processing. You like a challenge and are motivated
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bicycle scheme; For more information about employment conditions, see https://www.universiteitleiden.nl/en/working-at/job-application-procedure-and-employment-conditions What we value Promoting an inclusive
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partners all over the Netherlands for a 4-year research position that bridges human-computer interaction, computer science, design, and behavior change. Information In the Netherlands, almost 300.000 people
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available to answer the questions of interest and can lack generalisability to real-world care practices and patient populations. This limits their relevance to decisions about optimal care and reimbursement