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Field
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. software and parallel computing is required. Skills in data processing and visualizing the results of quantum-chemical simulations are strongly desired. The candidates experienced in software
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and with expertise spanning knowledge graphs, GeoAI, research data management, geo-semantics, geographic information retrieval, geo-visualization, social sensing, and related fields. We are interested
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machine learning, deep learning, data visualization, and applied analytics for multi-modal datasets. Technical proficiency with Python, R, SQL, SPSS, Tableau. Architectural and design software expertise
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cloud data and 2D floor plans to assess spatial and visual properties of EDs, ensuring data accuracy through ground-truthing. Apply cluster analysis and statistical methods to classify EDs into spatial
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metadata to enable data and workflows to be reproduced. ArcGIS StoryMaps or Similar – ability to produce integrated spatial, visual and textual information in a structured and visually appealing way
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the research, including stimulus creation (i.e. a database of visual, haptic and auditory stimuli for experiments), data collection and preliminary data analyses. The work will be conducted under
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: responsive to objects and to interlocutors, aligning speech and visual signals for richer, more natural interaction. In this project, you will carry out research as described in the project proposal, which
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academic excellence. Ready to be part of our team? Let’s shape the future together! Your personal sphere of play: Your future position will be in the Visualization and Data Analysis research group
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involves working with commercial fishing scientific data compilation, analysis, modeling, and visualization, and integration of local fishermen’s ecological knowledge, and available socioeconomics scientific
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, and investigating how adaptive plasticity evolves under different selective pressures. For more information, please visit Nidal Karagic’s laboratory web page: https://www.adaptive-plasticity.com