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interdisciplinary work combines advanced computational tools, including 4D point cloud modeling and state-of-the-art machine learning and deep learning techniques (such as generative adversarial networks), with
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. Design, test, and document computational frameworks that combine 4D point cloud data, geospatial analysis, and advanced ML/DL algorithms. Integrate dynamic environmental datasets into immersive and
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basis from 12 June 2025 The Digital Economic Security Lab invites applications for a postdoctoral researcher to join GEOCLOUD: The Geopolitics of Cloud Computing, a European Research Council Advanced
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environments or cloud computing platforms Proven experience with deep learning frameworks such as PyTorch and TensorFlow is highly desirable Familiarity with multimodal data fusion/integration is highly
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, experience working with health data is a plus but not a requirement Proficiency in Python and experience working in Linux-based HPC environments or cloud computing platforms Proven experience with deep
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degree (PhD or equivalent) in computer science, data science, statistics, bioinformatics, or a related discipline A strong publication record in machine learning, computer science, bioinformatics