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mechanisms. - Skills in data analysis and visualization (Python, MATLAB, R, etc.). - Excellent written and oral communication skills in English (the working language of the project). - Scientific rigor
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), nonlinear dispersive PDEs, or cold quantum gases. Practical knowledge of at least one programming language (Python, Matlab, Julia) is expected. English : level C2 is expected. Applications must include a
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for data analysis (R, Python, Matlab). Cell biology background. Columbia University is an Equal Opportunity Employer / Disability / Veteran Pay Transparency Disclosure The salary of the finalist selected
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, including REDCap along with experience in research compliance and administrative management systems. Experience in Python, R, and MATLAB for data analysis. Experience in administering and developing fMRI and
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imaging hardware, as well as programming skills in Matlab, LabView, Python, or a C-based language. Experience in neuroscience research and evidence of creative, original work in hardware or software
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. Familiarity with wildfire modeling, risk assessment, or disaster management. Strong programming skills in Python, Matlab, R, or other relevant languages. Experience working with large datasets and high
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. Experience in biomedical imaging, particularly in vivo human eye imaging 5. Skills in signal and image analysis (e.g., using Matlab, Python, or Labview) 6. Proficient level of communication in
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the cell culture environment. b. Digital Twin Development: Utilize programming and data science skills (e.g., Python, R, TensorFlow) to develop, train, and validate machine learning (AI) models. These models
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techniques (punctuation: 20) Item 03: Experience in experiments with lampreys or other basal vertebrate models (punctuation: 15) Item 04: Experience using programming tools (Matlab/Python) for data analysis
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and closed-loop automation systems. Co-authorship on a scientific publication. Prior experience or undergraduate-level coursework with a basic programming language for data analysis (Python, MATLAB, R