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) is an asset. Prior laboratory animal handling experience. Prior experience with common programming language like R and Python. Working knowledge of spreadsheets and statistical analyses. Excellent
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large remote sensing datasets (e.g., Landsat, Sentinel-2, MODIS) and spatial datasets (e.g., FACTs, FTEM, field data) both locally with R/Python and via Google Earth Engine for wild-treatment outcome
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. The ideal candidate should have strong programming skills in Python and previous experience working with infants or pre-teens. For this donor-funded research, the primary responsibilities of the post-doctoral
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fluorescence microscopy, basic programming (Python or other languages), and/or quantitative analysis of microscopy or simulation data. ? Experience working collaboratively in teams and effectively communicate
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Programming, C++ Programming Language, Data Integration, Genome Assembly, Genomic Data Analysis, Genomics, Independent Research, Machine Learning, Molecular Biology Techniques, Python (Programming Language
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standard bioinformatics tools. Proficiency in scientific programming languages (e.g., Python, R, Perl, Java), in a UNIX/Linux and/or Windows environment. Preferred Qualifications Education: No additional
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will possess: A strong background in scientific programing Interest in developing open-source data analysis and modeling tools in one of the following languages: Python, Julia, or C . A strong interest
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incorporating hardware and research devices. Primarily requires the use of Python and associated libraries (Numpy, PyQT/PySide6, Pandas), but may also involve the use of MATLAB/Simulink and C++. At direction
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(1 Year) Skills: Clinical Research, Detail-Oriented, Information Organization, Interpersonal Communication, Medical Record Reviews, Organizing, Patient Information, Python (Programming Language
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figures using SAS, R, or Python. Prepare figures for publication Assist with the drafting and editing of manuscripts Optional: contribute to wet lab tasks (e.g., tissue sectioning, IHC, qPCR). Working