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Field
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member of a research group with responsibility for carrying out research on the visual properties and evolution of eyes in trilobites as part of a project titled “Windows to the past: functional evolution
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is an advantage; a publication record that is competitive for the candidate’s career stage, along with the ability to present findings clearly through scientific writing and visualizations; and the
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for individuals, organizations or society. You will be part of the SAIL research group, whose research activities focus on AI-based modeling of complex systems, uncertainty management in deep learning, visual
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with confocal microscopy. ● Experience with tissue culture of pancreatic cell lines. ● Experience with 3D cellular visualization. Brief Description of Duties: Stony Brook University is seeking a
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expected to: Co-edit a collaborative volume “The Epigraphic Programs of Greek Sanctuaries: Space, Actors and Visual Strategies” with the Principal Investigator. Detailed description: A detailed description
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., video, audio, artifacts). Experience in using qualitative data analysis software. Experience in creating interactive design prototypes and data visualizations. Experience in machine learning or generative
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Python, including statistical analysis, visualization, and multi-omics data handling in collaboration with the team. Collaborating within an interdisciplinary team, including potential teaching or
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spatial transcriptomic data. A demonstrated interest in data visualization and large-scale data analysis is highly desirable. The ideal candidate will have a keen interest in understanding complex
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and conducting an eye-tracking experiment investigating how the design, placement, size, timing, and visual presentation of quality labels in an app-store environment shape users’ attention and
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Deutsches Zentrum für Neurodegenerative Erkrankungen | Magdeburg, Sachsen Anhalt | Germany | 13 days ago
, experience sampling methods, or remote/ambulatory cognitive testing Experience in programming (R and/or Python) and data visualization Familiarity with fluid and imaging biomarkers