627 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" "DIFFER" positions in Netherlands
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Stories from UT employees Job alert About UT Campus Research institutes Strategy and culture Twente and Enschede Nederlands English en Nederlands English Vacancies Payroll- & Data Specialist To vacancy
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Are you interested in using data science to understand how digital measures can capture clinically meaningful aspects of reward, motivation and impulsivity? Do you want to develop and apply
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deployments across different application domains, and take part in the group’s academic and organisational life. Information and application Are you interested in joining us? Please submit your application
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Leader Information Specialists. Every job is different, so in the beginning we will devote attention to your onboarding. If some of the work activities are new to you, we'll work together to figure out
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models for bridging knowledge gaps, data scarcity and uncertainty gaps, and governance gaps related to monitoring the environment on which humans depend. A part of this is **spatial statistics of sensor
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Netherlands Institute for the Study of Crime and Law Enforcement (NSCR) | Netherlands | about 10 hours ago
Are you a quantitative researcher with a passion for green criminology and experience with collecting and analyzing quantitative data? Are you interested in furthering our understanding
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In this EngD project, you will design a standardized protocol for fieldwork and data handling of GPR measurements at the University of Twente’s Utility Mapping Site (UMS). The UMS provides an ideal
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Vacancies EngD position: Standardizing Fieldwork and Data Management for Utility Mapping Key takeaways In this EngD project, you will design a standardized protocol for fieldwork and data handling
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Erasmus University Rotterdam is conducting a six-month diagnostic project on Open Research Information (ORI). The project explores how open infrastructures, including OpenAlex and OpenAIRE, could
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Vacancies Doctoral Candidate Spatial statistics for integrating IoT field sensor data and remote sensing data for nature-inclusive solutions in tree crop diseases Key takeaways The University