30 process-engineering "https:" "https:" "https:" "https:" positions at Utrecht University
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of benthic fluxes associated with changes in overlying seawater based on pilot site mCDR strategy. Where to apply Website https://www.academictransfer.com/en/jobs/363430/postdoctoral-researcher-on-mari
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Europe’s strategic innovation ambitions depend on the mobility of global talent, with a particular focus on STEM PhD recipients as key actors in science- and technology-based innovation. The project bridges
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attention and cognitive processing. You will work in a multidisciplinary team using cutting-edge experimental methods, including eye tracking, pupillometry and behavioural paradigms, to advance our
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in consultation with your supervisors. Where to apply Website https://www.academictransfer.com/en/jobs/363411/phd-position-competition-law-en… Requirements Specific Requirements You: have obtained a
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development process. Your responsibilities include: Supporting idea development and assessing alignment with national and international funding calls; Identifying suitable funding opportunities and advising
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@uu.nl ). Do you have a question about the application procedure? Please send an email to [email protected] . Website for additional job details https://www.academictransfer.com/362916/ Work
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to apply Website https://www.academictransfer.com/en/jobs/363280/postdoc-accelerating-the-circul… Requirements Specific Requirements A PhD in any relevant social science or humanities discipline; a proven
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ethnic minority backgrounds will serve as a comparison group, allowing you to examine whether contextual processes are specific to neurodivergent students or reflect broader patterns of minority inclusion
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statistical and computational methods to process and analyze data; You will write international peer-reviewed scientific papers; You will work in a collaborative environment that seeks to improve one another’s
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under global change requires accurate and consistent soil information at global scale. Current global soil maps are derived using empirical machine learning that often ignores known soil processes