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Field
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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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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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, TensorFlow, Pandas), ideally combined with knowledge of data visualization or statistical analysis Knowledge of software development (e.g., Python, Matlab, Simapro), especially in combination with experience
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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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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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, the biological light-sensitive pigment, is the actual magneto-receptor. Visual opsins, also named rhodopsins, are transmembrane proteins arranged in membrane stacks within photoreceptor cells in the eye
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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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) Group at Oak Ridge National Laboratory (ORNL) is seeking several qualified applicants for postdoctoral positions related to Computational Fluid Dynamics. Mathematical topics of interest include structure
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and medium-scale computing environments (Linux, job schedulers, parallel computing). • Familiarity with data analysis, visualization, and handling large scientific datasets. • Ability to run, adapt
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(desirable). Proficiency in relevant software for data analysis and structural visualization. Experience with in-silico discovery and bioinformatic analysis of antimicrobial genes/gene clusters, and associated