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Field
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Enhanced Collective Intelligence). The appointment is a specific purpose contract, to commence on 1st September 2025 or shortly thereafter. The successful candidate will have a background in Computer
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the Laboratory's collective success. As a U. S. Department of Energy (DOE) national laboratory located on the campus of Iowa State University, we offer a diverse, innovative working environment that excels
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commitment to interdisciplinary research are especially encouraged to apply. Responsibilities will include: - Developing a computational Artificial Intelligence form finding design framework to shape
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photogrammetry, LiDAR, and depth cameras, to build scalable analysis pipelines (10%) • Contribute to field data collection for validation of developed approaches (may involve occasional travel) (2%) • Contribute
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intelligence, AI-based data analysis, transcriptomics, proteomics, genomics or spatial omics. Interdisciplinary background or interest. A focus on Wet Lab research development. Candidates with experience
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intelligence. CONDITIONS Employment of this full-time position at Royal NIOZ is by NWO-I for a duration of 30 months. Salary compliant with CAO-WVOI (Collective Labour Agreement for Dutch Research Institutes
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). To commence from September 1, 2025 to August 31, 2026. Applicants should possess a Bachelor's degree in STEAM education, artificial intelligence, English language education, science, mathematics
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intelligence, AI-based data analysis, transcriptomics, proteomics, genomics or spatial omics. Interdisciplinary background or interest. A focus on Wet Lab research development. Candidates with experience
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Intelligence and assistive technology, we aim to be at the forefront of equipping key stakeholders to identify, explore, and scaffold opportunities for strengths-based approaches that allow neurodivergent
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Postdoctoral Researcher: Oxford Centre for Emerging Minds Research ‘All About Me’ (Adolescent Focus)
Artificial Intelligence and assistive technology, we aim to be at the forefront of equipping key stakeholders to identify, explore, and scaffold opportunities for strengths-based approaches that allow