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Field
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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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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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, and investigating how adaptive plasticity evolves under different selective pressures. For more information, please visit Nidal Karagic’s laboratory web page: https://www.adaptive-plasticity.com
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involves working with commercial fishing scientific data compilation, analysis, modeling, and visualization, and integration of local fishermen’s ecological knowledge, and available socioeconomics scientific
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Institutional Review Board (IRB) protocols. ● Design and execute data analysis pipelines using statistical methods and advanced computational tools. ● Translate complex findings into clear data visualizations
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. Data Analysis and Visualization: - Analyze datasets from LEEM/μ-LEED, XPEEM, XMCD/XMLD, and ARPES using specialized software and quantitative analysis methods. - Create clear visualizations of data and
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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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mechanisms may be hijacked in diseases such as brain cancer. Li received his B.S. from Fudan University, where he studied synaptic plasticity during critical periods in the visual cortex. During his Ph.D. with
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9 Sep 2025 Job Information Organisation/Company CNRS Department Institut de physique et chimie des matériaux de Strasbourg Research Field Physics Researcher Profile Recognised Researcher (R2
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optimizing high-performance C++/C# software modules for real-time control, sensor fusion, and data analysis; developing unity‐based visualization and user-interaction interfaces, including 3D modelling