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in international research visits if needed. We are looking for a highly motivated researcher with: A PhD in machine learning, computer vision, remote sensing, glaciology, climate science, or a related
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to your expertise. What do we require? A PhD degree (or equivalent qualification) in AI (e.g., machine learning, natural language processing or computer vision); A strong scientific track record, documented
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Postdoc SafePathways: Cross-Cultural Insights and Co-Designed Concepts for Schoolchildren's Mobility
essential. A PhD degree in one or more of the following disciplines: urbanism, architecture, urban studies, urban planning, human geography, transport studies, or a related discipline. A strong interest in
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Postdoc SafePathways: Cross-Cultural Insights and Co-Designed Concepts for Schoolchildren's Mobility
Verbal and written working proficiency in Dutch and English is essential. A PhD degree in one or more of the following disciplines: urbanism, architecture, urban studies, urban planning, human geography
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) Positions Postdoc Positions Country France Application Deadline 8 Nov 2025 - 23:59 (Europe/Paris) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description RESEARCHER PROFILE Postdoc/R2: PhD holders RESEARCH FIELD(S)1
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Essential Requirements: - PhD Degree in a relevant scientific field (e.g. computer science, data science, mathematics, engineering, or related); - Strong understanding of generative models (e.g., VAEs, GANs
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PhD students; multiple courses on topics such as leadership for academic staff; multiple courses on topics such as time management, handling stress and an online learning platform with 100+ different
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to and lead some of the above tasks. Job requirements To be eligible to apply, you should: Hold an PhD in geoinformatics/geomatics, computer sciences or engineering (or in a related discipline), ideally
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: Design, implementation and testing of new methods and algorithms so that SIESTA can harness the compute power of the latest generation of (pre-)exascale architectures and tackle novel scientific challenges