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Field
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This position offers the opportunity for a recent PhD in art history or a related field of visual study to enter the field of academic museum education. At the Herbert F. Johnson Museum of Art, we
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University of California, Los Angeles | Los Angeles, California | United States | about 10 hours ago
appropriate, development of reproducible computational workflows for processing and analyzing large genomic and immunologic datasets, visualization and communication of complex results to both computational and
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Postdoctoral Position in Computational Humanities to Research the Macroevolution of European Literat
Max Planck Institute for Empirical Aesthetics (MPIEA) | Frankfurt am Main, Hessen | Germany | 3 months ago, representing these influences through dynamic networks and directed graphs, and creating effective visualizations of large-scale literary networks. Using these inferred connections and networks, we will tackle
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, computational, or physical datasets using advanced statistical and computational methods. Develop data visualization products and synthesize findings to support research conclusions. Essential Function Yes
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Are you passionate about experimental aerodynamics and flow visualization? Apply for a PhD position that aims at transforming flow field measurements into aerodynamic forces by pressure and friction
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of the appointment. Demonstrated proficiency in data analysis, statistical modeling, and data visualization using R, Python, or comparable analytical software. Evidence of effective scientific communication through
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experiments. Utilize laboratory techniques that support hypothesis-driven neuroscience research. Analyze and Interpret Data Process, interpret, and visualize scientific data using tools such as R, Python
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7 Sep 2026 Job Information Organisation/Company Aix-Marseille Université Research Field Anthropology » Cultural anthropology Anthropology » Communication anthropology Arts » Visual arts
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, and PCR techniques. Proven experience using bioinformatic pipelines to analyze and visualize complex biological/genomic datasets. Demonstrated background in grant writing (e.g., NIH, NSF, private
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Science, Physics, Mathematics or Computer Science. You have a solid background in computational fluid dynamics (CFD) and be proficient in programming (e.g., Python, Fortran, or C++) and visualization tools