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Candidates with experience in flow cytometry, single-cell analysis, quantitative imaging, and routine use of R or Python for data analysis and visualization will be especially competitive. The ideal candidate
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the different communities in the Centers, and translating these scientific findings and achievements into high-quality content for international audiences; Generate high-quality written and visual content
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to effectively present information and respond to questions from students, faculty, staff, and the general public. Ability to interpret a variety of instructions in written, oral, visual or other modalities
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Applications: Preferred Other Computer Applications: Adobe Creative Cloud, Articulate Storyline, Camtasia Preferred Additional Knowledge, Skills and Abilities: Multi-media and audio-visual production. Email to a
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, 2026 will be assured of consideration, but the search will continue until a suitable candidate is identified. For additional information on the Borns Jewish Studies Program, please see: https
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visualization of scientific data. In carrying out the estimation of statistical uncertainties and identification, control and correction of systematic biases in Quantum Monte Carlo methods. In the optimization
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methodological sections, preliminary data visualizations, and analytical budgeting for future NIH and foundation grant applications (e.g., expanding on NIH UH3 initiatives). Research Presentation: Deliver
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include coordinating facility maintenance and setup, audio visual, special projects, and direct event support. This position is responsible for all aspects of customer service and sales of external facility
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of the École Supérieure de Biotechnologie de Strasbourg (ESBS). The team's biology website is: https://bsc.unistra.fr/en/research-teams/team-schalkmislin/presentation/ . The team consists of approximately 23
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with excellence, responsibility, and impact. The Department of Computer Science (D-INFK; www.inf.ethz.ch ) at ETH Zurich invites applications for a tenured faculty position in Generative AI in Visual