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; - strong data analysis and interpretation skills; - the ability to work effectively in a multidisciplinary team environment; - good scientific communication skills; - strong scientific writing skills in
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with scientific programming and quantitative data analysis, particularly in Python, is welcomed. Experience with droplet generation, thermal diagnostics, image processing, or automated experimental
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, ELISA, coagulation assays as well as carry out data analysis. The candidate’s research experience, technical skills, and relevance to the PI’s research will be used in determining the title and
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data analysis and machine learning (e.g. XGBoost), including model interpretation techniques (e.g. SHAP). Very good oral and written proficiency in English. Excellent communication skills, ability
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of fMRI data in task-based and resting- state tasks, including preprocessing, GLM modeling and BOLD contrast analysis, as well as functional and brain network analysis, • Experience in structural MRI data
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research group focusing on sustainable critical raw materials recycling, green organic synthesis and mechanochemistry. He and his evolving group are hosted at the Synthesis and Analysis floor by Professor
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the tomato response to Zn and Fe deficiency and design strategies to improve the Zn/Fe nutritional status of tomatoes for human health. You will generate dedicated (single-cell) transcriptional data sets
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for Oral Clinical Research (COCR). They will also promote research, enhance the profile of Barts Life Sciences, and provide advice, documentation, and training in data analysis for colleagues. About You The
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on palaeoecological research, including peatland fieldwork, peat-core analysis and multiproxy reconstruction of past fire and ecosystem responses, alongside FTIR spectroscopy and data integration. You will work closely
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 7 hours ago
for downstream research and UUV operations. Model-Data Integration, Validation, and Analysis – 15% Integrate physics-based model outputs with observational and operational environmental datasets. Evaluate model