275 evolution "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" uni jobs in Netherlands
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teaching sessions). Where to apply Website https://www.academictransfer.com/en/jobs/357995/data-steward/apply/ Requirements Specific Requirements As a data steward, you are service-oriented, possess strong
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predisposition, pathogens, health and environmental stimuli jointly determine how animals function, adapt and contribute to ecosystems. PhD: Development and implementation of AI tools for identification
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novel designs in space missions Definition, design and engineering Breadboarding and demonstration Analysis and verification Technology development in the fields of: Robot perception Control, autonomy and
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within the PhD trajectory? You can read more about this on this page . Your work includes: development and application of image-processing pipelines; multivariate modelling using network analysis and
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the potential of land use management to contribute to sustainable future development pathways. Your work is, focussed on the use of innovative spatial methods and models. Together with colleagues you teach
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, health and environmental stimuli jointly determine how animals function, adapt and contribute to ecosystems. PhD: Development of AI Models for prediction of resilience and susceptibility infectious
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development will be shaped within the framework of our Career Track policy in the first years as a university lecturer. Your duties you develop a largely externally funded research programme in your research
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, and international collaboration within a Research Commons. The unit consists of three departments: Compute Services, Data Services, and Applications & Technologies. This is where service development
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and their application in the life sciences. The chair group puts a strong emphasis on the development and application of advanced spectroscopy and imaging techniques. Research directions of current
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astronomical data science. We seek an outstanding researcher whose work focuses on the development and/or application of data science methodologies in astronomy and astrophysics. Areas of interest include (but