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Field
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precision medicine and diagnostics covers data integration, analysis, visualization, and data interpretation for patient stratification, discovery of biomarkers for disease risks, diagnosis, drug response and
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development of early warning systems, risk assessment of pathogens; optimization of the calculation of disease burdens, visualization of complex correlations, Big Data analyses, automated analysis of high
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computational approaches, and the art of data visualization in complex but meaningful ways. The student will become an expert in using programming languages like Python and R. We work closely with highly
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principal investigators for a full-time, Assistant, Associate, or Full Professor position. We seek outstanding candidates with research interests in all aspects of ocular and visual system biology and disease
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science, mathematics, engineering, or natural sciences. Applicants must also have proven software engineering skills as well as experience with web technologies and data visualization. Excellent language skills in
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to missed detections, unstable feature extraction, and reduced confidence in data interpretation. Current perception pipelines treat observations as direct ground truth, yet at sea the visual signal is a
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CIIMAR - Interdisciplinary Center of Marine and Environmental Research - Uporto | Portugal | about 1 month ago
analysis software (QGIS, ArcGIS, or equivalent). Skills in data analysis, statistics, and data visualization. Work Plan: The selected candidate will join the Coastal Biodiversity Lab at CIIMAR and will carry
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PhD project investigates how children distribute visual attention across verbal and non-verbal communicative signals during storytelling. You will examine: children’s visual attention during
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Leibniz-Institut für Analytische Wissenschaften - ISAS - e.V. | Dortmund, Nordrhein Westfalen | Germany | about 2 months ago
of existing methods and procedures for use in the joint project Evaluation, analysis, and visualization of data Documentation of laboratory work Collaboration with other project partners and regular
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. Direct visualization of crystal nucleation, growth, and phase transformations within porous materials will reveal mechanisms that thermodynamic models cannot capture. 2) Experimental datasets and