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western blotting to quantify results. Perform image and data analysis using MATLAB and FIJI, and summarize results by generating appropriate graphical output in Matlab or excel. Keep detailed records of all
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the scanner, data acquisition and analysis, image evaluation, and statistical analysis. Responsibilities* 50% Perform Translational Research laboratory tasks including Data Collection, Tabulation, and Data
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connectivity analysis and structural MRI data analysis. Strong background in neuroscience and psychology. Experience working with clinical datasets, neuropsychological assessments, and pathology-related
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assays, immune‑cell trafficking, and spatially resolved tumor–immune crosstalk. Lead image and data analysis, including programming in Python and experience with ImageJ/Fiji, to process microscopy data and
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team of meta-scientists and Open Science researchers and will play a central role in all stages of the project—from conceptual development and data collection to analysis, stakeholder engagement, and
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requires experience in cognitive processes underlying food choice, context effects, experimental research, quantitative analysis, computational modeling, and eye tracking. Applications must be submitted by
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, bioinformatics, systems biology, computer science or related field Strong proficiency in Python and/ or R Experience in single cell omics analysis and multiomics data interpretation Abilitity to work independently
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bioinformatics, deep learning and/or biomedical image and clinical data analysis (e.g. Linux, R programming) is essential. The appointees will need to perform data analysis of single cell RNA-sequencing
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conjugation for fluorescence dye labeling Proficient in data analysis and presentation Excellent communication skills (oral and written) along with a strong publication record. Additional Information
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slide imaging analysis in computational pathology is essential. Applicants should have a solid publication record and demonstrated experience in computer vision or analysis of pathology images