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an important challenge in Human-Computer Interaction research: how can we create a proxy for a remote physical object that does not replicate, but extends the experience of interacting with the object itself
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direction, methodologies, study design and compliance requirements coordinate data management processes, including data analysis and reporting to generate meaningful research insights lead, provide academic
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14 Sep 2026 Job Information Organisation/Company University of Oslo Research Field Geosciences Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions Application Deadline 13 Oct
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responsibility for courses covering the fundamentals of environmental remote sensing, remote sensing methods, geospatial data analysis, and image processing. Supervising practical exercises and projects involving
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will be further developed by the successful candidate in collaboration with the supervisory team. Main tasks The successful candidate will: develop and evaluate image-classification workflows
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achieve outstanding performances in recognizing objects in an image, inferring their relationships, and generating image descriptions in natural languages. They're ideal for tasks like image captioning
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processing and analysis of large datasets. Evidence of creativity and capability of independent research. Fluent oral and written communication skills in English. Desired qualifications: It is an advantage
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Qualifications 1. A PhD in Physical Geography, Ecology, Remote Sensing, or a related discipline (preferably within three years of completing the PhD). 2. Knowledge of the key processes governing
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, computer/data science or relevant topics in other fields. Doctoral dissertation must be submitted for evaluation by the closing date. Only applicants with an approved doctoral thesis and public defence are
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processing and analysis of large datasets. Evidence of creativity and capability of independent research. Fluent oral and written communication skills in English. Desired qualifications: It is an advantage