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Field
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interfaces (application programming interface, API) for system control are being developed in order to automate both process monitoring and process control. The API-based integration of the digital twin
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. Knowledge of cloud-based computing platforms for data processing (e.g., AWS, Google Cloud). Understanding of BMS architecture and electric mobility systems.
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development (e.g. user interfaces and APIs) Background in soil, ecological or environmental science Comfortable with/Accustomed to handling small invertebrates (mites, springtails) Good command of German
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Consistently exhibit engaging customer service Ability to support various constituencies served by the University Proven proficiency with computers including Microsoft Office, Google, and/or applications as
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such as glaucoma, macular degeneration, and uveitis. Programming in Python and R languages with knowledge of Google Tensorflow, PyTorch, scikit-learn, and Keras or other related deep learning libraries
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engasjerende for den enkelte brukeren, og dermed mer verdifulle for utgivere og tredjeparts-annonsører. Databehandlingsansvarlig: Youtube, Google Formål: Samler informasjon om brukerne og deres aktivitet på
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(OpenStreetMap, Copernicus, Google Earth Engine, etc.). Experience in processing, integrating, and visualizing large urban datasets (mobility, environment, infrastructure, demographics, etc.). Programming skills
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developing custom tools and end effectors for robotic assembly Good knowledge of the CAD software Rhinoceros 3D, its plugin Grasshopper 3D, and its API RhinoCommon Real-world architecture and/or construction
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such as glaucoma, macular degeneration, and uveitis. Programming in Python and R languages with knowledge of Google Tensorflow, PyTorch, scikit-learn, and Keras or other related deep learning libraries
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engasjerende for den enkelte brukeren, og dermed mer verdifulle for utgivere og tredjeparts-annonsører. Databehandlingsansvarlig: Youtube, Google Formål: Støtter integrering eller "embedding" av en