Computer Science Studentships / Grants & Scholarships jobs in Norway
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- Studentships / Grants & Scholarships, Computer Science, Norway 22
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- Academic Posts, Computer Science, Direct Employer, Norway 28
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Found 22 Direct Employer jobs
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PhD Candidate in Reinforcement Learning to Improve Maintenance Strategies
You will be expected to design and apply the innovative reinforcement learning and other AI techniques to maintenance optimization ...
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PhD Candidates in Real-Time Hyperspectral Data Processing in Small Satellite and Autonomous Systems
The PhD fellowships in Real-time hyperspectral data processing in small satellite and autonomous systems are associated ...
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PhD Candidate in Verification and Validation of Cyber-Physical Systems
The objective of this position is exploring new techniques for Verification and Validation (V&V) of modern computer-based systems.
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PhD Candidate in Interaction Design and Learning Technologies
This position is expected to contribute on designing the conditions and tools for engaging learning by taking into consideration ...
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PhD Candidate in Business Value of Artificial Intelligence
The focus of this position is on exploring the business value that Artificial Intelligence (AI) can deliver to organizations ...
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PhD Candidate in Extended Reality for Future Mobility and Infrastructure Solutions
The Department of Electronic systems (IES) is looking for a PhD candidate in the area of XR for visualization and gamification ...
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PhD Candidate in AI for Databases
The aim of this PhD position is to work with research topics at the interface between machine learning and databases, and develop techniques ...
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PhD Candidate in Acoustics of Fiber Optic Cable Sensing for Monitoring
The PhD project will be exploring novel applications of fiber optic cable sensing for environmental monitoring.
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PhD Candidate in Algorithms for Large-Scale Processing of Dynamic Graphs
The PhD student will develop techniques (algorithms and frameworks) for efficient processing of dynamic graphs ...
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PhD Candidate in Cyber-Security for Critical Infrastructures Digital Twins
The PhD candidate will work on challenging research problems related to developing digital twin demonstrators, and mechanisms ...
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PhD Candidate in Digital Twin for Maritime Communication System Performance Prediction
The data sources foreseen are the radio system channel quality indicators at the physical layer, the location information, and eventually ...
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PhD Candidate in Fair and Sustainable Biometrics
We are looking for PhD candidates from all nationalities, who want to contribute to our quest to create knowledge for a better world.
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PhD Candidate in Machine Learning and Signal Processing
The PhD project will focus on applying state-of-the-art machine learning and signal processing techniques for the effective ...
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PhD Candidate in Optimal Hydropower Scheduling using Advanced Machine Learning and Data Analytics
The IntHydro project aims to develop and demonstrate a new hydropower scheduling tool based on machine learning techniques ...
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PhD Candidate within Autonomy and Simulation for Future Mobility Solutions
The PhD project will investigate both modular (mapping and localization, perception and prediction, planning and control ...
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PhD Candidate within BigData and AI for Future Mobility Solutions
The aim of the PhD will be to develop and exploit big data and artificial intelligence-driven digital twin of urban mobility ...
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PhD Candidate within Digital Twins for Future Mobility and Infrastructure Solutions
The main aim of this project is to build a static digital twin of the MobilityLab’s focus area that will act as a baseline for all further ...
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PhD Candidate within Dynamic Digital Twins
This PhD will focus on the coupling between the twin and the different kinds of sensors, and will work with pre-processing ...
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PhD Candidate within Trustworthy Artificial Intelligence
PhD position will contribute to develop principles for creating trustworthy AI applications. Together with partners in the NorwAI ...
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Ph.D. Position in Future-Oriented Urban Transport Modeling
The projects will explore how sources of dynamic data and passive data can be utilized to further develop and improve transport modelling.