14 parallel-processing "Computer Vision Center" Postdoctoral research jobs at Utrecht University
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-Independent Acquisition (DIA), Parallel Reaction Monitoring (PRM), Quantitative proteomics workflows, Data normalization and quality control strategies, Strong experience in processing and interpreting
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partners at Princess Maxima Center) using AI/ML techniques, implement antigen data analysis and discovery processes, and contribute to the maintenance of data infrastructure in collaboration with
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Lab AI ( Floris Bex and Jelte Mense ) and the Natural Language Processing Group ( Albert Gatt ) at Utrecht University. Together, we want to explore how small models can extract useful information on
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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
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conducting experiments and performing analytical sample processing (lab work); A theoretical background in marine environmental physiology, biogeochemistry, and ecology; Willingness to experiment with
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letter of motivation, via the ‘apply now’ button. Please note that international candidates that need a visa/work permit for the Netherlands require at least four months processing time after selection
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Netherlands require at least four months processing time after selection and acceptance. Our International Service Desk (ISD) can answer your questions about living in the Netherlands as international
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months processing time after selection and acceptance. This will be arranged with help of the International Service Desk (ISD) of our university. Finding appropriate housing in or near Utrecht is
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support the implementation of the EU’s long-term Vision for Rural Areas towards stronger, connected, resilient, and prosperous rural areas up to 2040, aiming to empower rural communities to tackle climate