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commitment to integrating AI in their scholarship and instruction and may come from any discipline. A PhD is expected prior to the start date. The Postdoctoral Scholar will serve as one of the Initiative’s AI
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environmental challenges through human-centered, AI-powered smart city technologies. The group emphasizes interdisciplinary research that integrates urban planning, geography, artificial intelligence, and
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closely with ESA’s Φ-lab and internal teams to integrate onboard AI and decision intelligence. Technical competencies Knowledge relevant to the field of research Research/publication record Ability
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Learning (ML), Deep Learning (DL) particularly in Natural Language Processing (NLP) and Computer Vision (CV) - strong record of publications - Excellent communication skills and ability to work in a fast
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, a manuscript, or a relevant chapter from your PhD thesis demonstrating your research and writing skills. Contact details of two referees: please provide the names, email addresses, and phone numbers
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protocols using computer-based data collection software, preparing and submitting ethics applications, drafting informed consent documents, and pre-registering studies. - Submit research protocols
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co-design processes Develop partnerships with policy makers, practitioners and civil society organisations Contribute to the development of creative project outputs Your profile PhD in environmental
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quantitative modeling using R and/or Python. Experience with PK-modeling within NONMEM, R or Python environments. Strong general computer skills, with the ability to quickly master and implement innovative ML/AI
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among migrant workers and in the platform ecosystem in Finland to examine how labour evolves in a transformed landscape of data-driven realities, how hierarchical power structures influence labour agency
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protocols and data acquisitions Mentoring students and promoting collaborations Specific criteria include: Recent PhD (0 - 3 years) in a relevant health economics/services research, biostatistics