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methods using Python. Apply concepts from linear algebra and image processing to analyze and improve digital images. Process and analyze image datasets and evaluate the performance of different dehazing
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for collaborators. Ability to manage and merge large dataset and data tables from different sources to develop analytic datasets as a single file. Ability to produce visual tools that highlight the essential
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Description The School of Social Work is seeking a graduate student with experience in spatial data analysis using Python to support faculty research projects. The ideal candidate will have experience working
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, or sustainability economics. • Strong knowledge and practical experience in Difference-in-Differences (DID) models and other causal inference methods. • Experience working with large socioeconomic
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/STEM image processing and simulation using open-source Python packages such as hyperspy, pyxem, atomic simulation environment (ASE) and abTEM as well as user experience with the Protochips specialist
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of different parts in the system, and the integration with other partners in the project. About you You should possess a PhD/DPhil in Engineering, Computer Science or other related field, (with the possibility
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, CellProfiler, QuPath, Napari, Python or MATLAB. — Ability to interpret biological results and collaborate with researchers from different fields. — Good command of scientific English, both spoken and written
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Python programming, gaining valuable research experience alongside your studies. You will collaborate with an experienced, interdisciplinary research team and contribute to the development of Abaqus
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Join the forefront of groundbreaking research at City of Hope where we're changing lives and making a real difference in the fight against cancer, diabetes, and other life-threatening illnesses
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, and systematic evaluation of results. Objectives: Development and application of artificial intelligence algorithms for different use cases in the energy sector, e.g., forecasting of renewable energy