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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
analysis about mouse behavior from video * Machine Learning: use your expertise in statistics and machine learning to analyze high dimensional medical imaging data* Make it easy to get high quality
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the preparation of scientific project proposals is considered an advantage; Experience with basics statistical analysis or data visualization; Excellent command of English is mandatory while knowledge of Greek
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processing Responsible for analysis of the data Responsible for visualization Presentations of progress and key results Contribute to manuscripts, writings, articles, editing Mentorship oversight PhD/MS level
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of the mass spectrometry-based proteomic data generated in our chemoproteomics experiments. The postdoctoral associate will be responsible for developing and optimizing custom data analysis and visualization
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Deutsches Zentrum für Neurodegenerative Erkrankungen | Bonn, Nordrhein Westfalen | Germany | about 1 month ago
analysis platforms integrating AI and machine learning pipelines Coding skills in Python or R for data processing and visualization is an asset Fluency in English (spoken and written) Strong scientific
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lead sophisticated multimodal bioinformatics integration and analysis, collaborating daily with a diverse team of computational scientists and clinicians to translate complex data into actionable cancer
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job-ref-mnbhgt405i@emploi.beetween.com Requirements Research FieldComputer scienceEducation LevelPhD or equivalent Skills/Qualifications Knowledge: Skills in Data Analysis and Supervised/Unsupervised
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supervision conferring with higher levels only in unusual situations. 8. Performs other job-related duties as required. Responsible for conducting research in 3D image analysis and shape modeling, with a focus
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We are seeking a Postdoctoral Researcher in Geospatial Urban Big Data to support the analysis of urban dynamics and decision-making in territorial planning. The candidate must be proficient in GIS
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). Ability to perform simple descriptive statistics, hypothesis testing, and data visualization. Modeling and exploratory data analysis (EDA) to identify patterns, trends, and insights within datasets