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20th May 2026 Languages English English English The Department of Computer Science has a vacancy for a Postdoctoral Fellow in System-Level Analysis of Deep-Learning Acceleration Apply for this job
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environment or atmospheric or lightning physics is a requirement. A general knowledge of programming languages aimed at scientific data analysis and visualization is a requirement. Hands-on experience with
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better world. You can find more information about working at NTNU and the application process here . About the position We invite applications for a Postdoctoral position in system-level analysis of deep
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languages aimed at scientific data analysis and visualization is a requirement. Documented general knowledge of the near-earth space environment, atmospheric or lightning physics is an advantage. Documented
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physics is a requirement. A general knowledge of programming languages aimed at scientific data analysis and visualization is a requirement. Hands-on experience with radio, optical, or hard-radiation
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experience from or competence in radiation detectors (design, construction, operations or data analysis) is a requirement. A general knowledge of programming languages aimed at scientific data analysis and
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analysis) is a requirement. A general knowledge of programming languages aimed at scientific data analysis and visualization is a requirement. Documented general knowledge of the near-earth space environment
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requirement. A general knowledge of programming languages aimed at scientific data analysis and visualization is a requirement. Documented activity aimed at the calibration of gamma-ray detectors is an
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or the adaptation of existing tools and techniques for spatio-temporal analytics, such as representation, exploratory visualization and theories and mathematical model development of spatio-temporal data. Support
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new deep learning algorithms for spatio-temporal medical image analysis with particular focus on learning from limited labelled data. Start date: Fall 2026 Duration: The appointment is for 3 years It is