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of maintenance. The project aims to develop an integrated decision-support framework that combines inspection images, sensor data, and engineering interpretation to enable more transparent, evidence-based
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of a vestibular-inspired neuromorphic microchip (VEST-CHIP) designed for real-time, ultra-low-power bilateral sensor processing to enable continuous monitoring in wearable — and potentially implantable
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energy-efficient ship operation and the decarbonization of maritime transport, thereby supporting the broader green transition of the maritime sector. The duration of the position is 3 years. Your main
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time frame. The decision on a 3- or 4-year position will be discussed as part of the interviews in the hiring process. As a PhD Fellow at OsloMet, you have the opportunity to apply for funding
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deducted in pension contributions for the Norwegian Public Service Pension Fund (SPK). Application Process If you wish to apply for the position, you must do so through our recruitment system.Please upload
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to complete the PhD program/degree within the decided time frame. The decision on a 3- or 4-year position will be discussed as part of the interviews in the hiring process. As a PhD Fellow at OsloMet, you have
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in the hiring process. As a PhD Fellow at OsloMet, you have the opportunity to apply for funding for extended research stays abroad . Qualification requirements Master's degree in computer science
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the decided time frame. The decision on a 3- or 4-year position will be discussed as part of the interviews in the hiring process. As a PhD Fellow at OsloMet, you have the opportunity to apply for funding
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aerial, marine, and heterogeneous robotic platforms. The goal is to advance the scientific foundations of embodied AI and develop intelligent robotic systems capable of reliable operation in uncertain and
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1017, corresponding to 550 800 NOK per year. From the salary, 2% will be deducted in pension contributions for the Norwegian Public Service Pension Fund (SPK). Application Process If you wish to apply