22 evolution-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Computer-Vision-Center" positions at Utrecht University in Netherlands
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will complete an individual four-year training programme designed to provide broad and in-depth expertise in veterinary parasitology. https://www.eurovetpar.org/residencyprograms Your training
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, you are responsible for conducting original research on computational models of semantic change and synonymy evolution across historical corpora, structured around three lines of work: (1) modelling
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research, both within the field of Clinical Psychology. Your academic profile aligns with the mission and vision of the Clinical Psychology department (https://www.uu.nl/en/organisation/clinical-psychology
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clear vision for developing an independent research line that complements the current activities of the Virology group; for appointment as Assistant Professor: several years of relevant postdoctoral
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connections between individuals, groups, and institutions contribute to new pathways to and forms of social cohesion. See https://socion-program.org/research/ For more information about this position
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colleagues and students, you’ll apply mathematics to tackle societal challenges and bring new data-driven modelling, experiment, and computer-aided mathematics into education. We welcome applicants from
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influenza evolution and host specificity. Preparedness: you will help establish physiologically relevant glycan-based receptor : models to support pandemic risk assessment and antiviral strategies. Your
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Delta Evolution and Subsurface Processes) at [email protected] external link Candidates for this vacancy will be recruited by Utrecht University. Apply now As Utrecht University, we want to be a home
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! Research fields Communication sciences; Computer science Job types Postdoc Education level Doctorate Weekly hours 32—40 hours per week Salary indication €3706—€5760 per month Location Princetonplein 5
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Vision, the National Archive, and the National Library of the Netherlands. The research will take place in collaboration with the HAICu fieldlab ‘Deep Journalism’, which develops functionality for