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SINTEF. The project aims to develop an automated high-throughput platform for physiologically relevant cell research by combining robotics, microfluidics, advanced sensors, cloud-connected software, and
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relevant cell research by combining robotics, microfluidics, advanced sensors, cloud-connected software, and artificial intelligence. The successful candidate will become part of a multidisciplinary
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between predictive performance, computational efficiency and scalability, using high-performance and cloud computing environments. Depending on the agreed research direction, you may also explore hybrid
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underlying digital dependencies unaddressed. Even with clear legal frameworks, the dependencies that Norwegian organizations develop on global platform companies, cloud providers, and proprietary software
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cloud-based geospatial analysis. Spatial visualization, mapping applications, and predictive ecological modeling. Applicants must possess a valid U.S. driver's license (or obtain one within 60 days
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, cloud formation, and heat transport in water world atmospheres. Interpret observations of water worlds by comparing atmospheric simulations with measured spectra. Assess the climatic conditions and
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are still present. This PhD research aims to develop new and efficient AI-based solutions for processing LiDAR data (2D/raster and 3D/point clouds) and improve the detection of sub-canopy archaeological
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atmospheric circulation, cloud formation, and heat transport in water world atmospheres. Interpret observations of water worlds by comparing atmospheric simulations with measured spectra. Assess the climatic
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are scarce and in high demand. Our graduates will be ready for roles at cloud and datacentre operators, energy companies, grid operators, telecom companies, and in academia. As a MSCA Doctoral Candidate you
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programming skills in Python or Java (experience with APIs, databases, cloud technologies, or software development frameworks is a plus); excellent communication skills in English. For this position your