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for recruitment positions for general criteria for the position. Preferred selection criteria Experience with computer vision, video analysis, self-supervised learning, vision transformers, or multimodal learning
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are particularly encouraged to apply. Experience with microinjection, in vivo imaging, molecular techniques, isolation and analysis of immune cells, quantitative data analysis or bioinformatics is an advantage, but
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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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16 Sep 2026 Job Information Organisation/Company NTNU Norwegian University of Science and Technology Department Department of Computer Science Research Field Computer science Researcher Profile
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for Commercial Applications of Healthcare Data (https://enterprises.upmc.com/phda/ ) provide biomedical innovation and translation opportunities. Interested applicants should apply to requisition number 26003839
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 2 months ago
expressions, mouthing, spatial organization, and timing. Automatic translation from sign language videos into written text therefore requires modelling complex visual and temporal information, rather than
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, water treatment technologies, or environmental remediation techniques, physicochemical materials characterization data analysis and visualization skills Rules governing PhD students are set out in
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analysis and developing advanced data interpretation methods, SPACE-MEL aims to unlock deeper insights into cellular organisation and disease mechanisms. The network will train 15 Doctoral Candidates through
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performance simulation, lifecycle assessment, or climate resilience. Knowledge of uncertainty quantification and risk modelling is desirable. You have experience with programming and data analysis (e.g., Python
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adaptation and human-centred design in vulnerable neighbourhoods. By combining qualitative and GIS-based mapping, community-oriented visual design engagement methods, and stakeholder analysis at multiple