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at the Department of Computer Science (IDI), NTNU, Gjøvik. The position is a three-year full-time doctoral appointment and will be based at Gjøvik campus. Are you motivated to take a step towards a doctorate and open up
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Description Are you motivated to take a step towards a doctorate and open up exciting career opportunities? As a PhD Candidate with us, you will work to achieve your doctorate, and at the same time gain
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towards a doctorate and open up exciting career opportunities? As a PhD Candidate with us, you will work to achieve your doctorate, and at the same time gain valuable experience that qualifies you for a
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PhD Candidate to conduct research on Artificial Intelligence for managing Shipbuilding Supply Chains
tactical sourcing decisions, and contribute to improved supply chain performance. You will join the Production Management Research Group at NTNU, which focuses on the design and planning of production and
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, or geomechanics, is a requirement. Experience with either CO2 storage or petroleum engineering is an advantage. Experience with open science and FAIR research practices is an advantage. Experience from supervision
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cookie and refresh page to watch video, or click here to open video) About the position This PhD project is connected to FME NorthWind (https://www.northwindresearch.no/ ), a Norwegian national research
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partners. Implementing and testing algorithms in high-performance open-source scientific software. Be prepared for changes to your work duties after employment. Required selection criteria You must have a
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. Implementing and testing algorithms in high-performance open-source scientific software. Be prepared for changes to your work duties after employment. Required selection criteria You must have a relevant
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must engage in FME NorthWind activities as required. Implementing and testing algorithms in high-performing open-source scientific software. Be prepared for changes to your work duties after employment
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in high-performing open-source scientific software. Required selection criteria You must have a professionally relevant background in Applied/Numerical Mathematics, Physics and/or Ecology with a solid