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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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across plant science, robotics/sensors, and AI modelling Knowledge of developing scientific software tools, databases, or apps for data analysis and visualization. Personal qualities Strong motivation
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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
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include statistical analysis, data management and collection, causal inference, network analysis, graph theory, visualizations, and online tool development. Experience in conducting online controlled
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India. The role includes designing quantitative and qualitative data collection tools, leading survey fieldwork in collaboration with in-country partners, conducting rigorous data analysis, and
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systems, scalable algorithms and systems, artificial intelligence and machine learning, data management, workflow systems, analysis and visualization technologies, programming systems and environments, and
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thinking skills. Competence in data analysis and visualization using software such as GraphPad Prism, R, or Python. Excellent scientific writing and communication skills, with a track record of peer-reviewed
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time. Collaborate on project and analysis design guided by their PI. Develop new computational methods. Adhere to field and lab standards for data analysis. Identify, process, organize, interpret, review
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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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geographic and taxonomic scope of the analysis, develop approaches to link plant distribution data to (historic) urbanization data, perform data analyses and visualizations to reveal historic trends in species