305 data-"https:"-"https:"-"https:"-"https:"-"Inserm-UMR-S-1250" positions in Netherlands
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Digital & Data-Driven Workflows Developing standardised, traceable data acquisition and processing workflows. Contributing to an evolving “digital lab manual” with scripts, procedures, and guidelines
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PhD Position in Sequential Decision-Making Faculty: Faculty of Science Department: Department of Information and Computing Sciences Hours per week: 36 to 40 Application deadline: 15 May 2026
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data applications and the theoretical analysis of machine learning methods. A list of members of the statistics group can be found here . The Statistics group is embedded within a larger data science
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PhD position in AI and Human Centered Decision Making Faculty: Faculty of Science Department: Department of Information and Computing Sciences Hours per week: 36 to 40 Application deadline: 5
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data analysis, and to establish and manage a service infrastructure within the BioMS group, enabling fee-for-service access for external collaborators. You will independently design, plan and perform
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the rapid development and consolidation of European EO capabilities to address gaps and constraints in the availability of and access to adequate EO-derived information for security stakeholders. It will
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facility. Your focus will be on delivering high quality data and sample preparation assistance, primarily on the Krios microscope, while also optimizing the operation of the pFIB. In a collaborative, cross
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on the topic of model-based testing. Information and application Are you interested in this position? Please send your application via the 'Apply now' button below before June 1 2026, and include: A Curriculum
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emerging big data technologies, to maximise impact and benefits for society. Reporting to the Head of the Applications Section, you will be responsible for defining and managing EO research and development
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to the circumstances of the death). Despite their apparent clinical relevance, little is known about these images. There are, however, strong reasons to assume that their content provides important information about