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Field
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of artificial intelligence. Electric drilling and other methods for reduced climate footprint. Combine deep wells with shallow seasonal heat storage (GeoTermos) and possibly short-term storage (accumulation in
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machine learning, e.g. predicting rate of penetration (ROP) and wear. Investigate the possibilities in automation and robotization and the use of artificial intelligence. Electric drilling and other methods
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distribution modelling Experience with spatial analysis and mapping tools (e.g., QGIS, ArcGIS, or spatial packages in R/Python) Interest or experience in applying AI or machine learning methods to ecological
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knowledge for a better world and solutions that can change everyday life. Department of Marine Technology We develop methods and technology related to the blue economy: oil and gas extraction at sea, ship
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develop methods and technology related to the blue economy: oil and gas extraction at sea, ship technology and the equipment industry, fisheries and aquaculture. We also have a strong commitment to the
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recyclable. High-temperature gasification is a promising method for recycling these mixed wastes. By subjecting the plastics to temperatures of 800°C, the organic structure of the plastic is atomized
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research methods. Have an interest in conducting research in external organizations. The applicant’s master thesis must be research-oriented PLEASE NOTE: For detailed information about what the application
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. You must meet the requirements for admission to the faculty's Doctoral Programme . Have a background with empirical and in particular qualitative research methods. Have an interest in conducting
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, highly motivated researchers that both enjoy working in a team but capable of working independently. They should be keen to utilize eclectic theories and methods, develop new theoretical perspectives while
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efforts to contribute to safer marine operations, we actively explore possibilities to utilize both numerical and machine learning methods to enhance the accuracy and resolution of metocean forecasts. About