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, contrastive learning, or representation learning approaches Experience with high-performance computing, cloud platforms, or distributed training Prior experience working in a collaborative biomedical
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Job Description Are you interested in pursuing a PhD at the intersection of artificial intelligence, embedded systems, and sustainable computing? Join the Embedded Systems Engineering (ESE
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. You are encouraged to visit the ESA website: https://www.esa.int/ Field(s) of activity/research for the traineeship Main objectives of the Research Fellowship Cognitive cloud computing in space (3CS
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, R) and geospatial tools (e.g., ArcGIS, QGIS ), spatial statistics, or cloud computing Experience working in collaborative research teams Valid driver’s license and be able to successfully pass a
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Skip to main content Search Menu Norwegian version Job openings PhD fellowship in quantum computing, optimization on noisy gate-based NISQ platforms Location Oslo Apply by 6 November 2026 Position
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appropriate to your career stage. Experience with High-Performance Computing (HPC) clusters, geospatial foundation models, large-scale geospatial processing or cloud-based Earth Observation platforms
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imaging datasets. Strong technical knowledge across the data lifecycle, including research data architecture, data pipelines, database management, SQL, REDCap, cloud or high-performance computing
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with generative AI agents applied to data analysis or visualization authoring. Scientific project management experience, including coordination of multi-partner research activities. Experience with cloud
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DECIDE research team. DECIDE conducts cutting-edge research on Distributed and Embodied Computing in Dynamic Environments. The team works to realize a vision where humans and robots cooperate
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-seq, spatial transcriptomics and single-cell data. Familiarity with data integration frameworks, predictive modeling, and network analysis. Experience with cloud computing, workflow management