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analyses such as RNA‑seq library prep, single‑cell workflows, qPCR, Western blotting, ELISAs, and multiplex assays. Integrate multi-omics datasets using R or Python; collaborate with bioinformatics core
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reproducible computational workflows. This is an excellent opportunity for someone with strong programming skills in Python, MATLAB, or R, and an interest in computational neuroscience, to contribute directly to
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processes) to enable large-scale data processing and integrate the developed tools with toolkits to process genomic data. Write and apply customized scripts (e.g., shell scripts, Python algorithms) to support
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: Minimum Qualifications: Applicants must meet minimum qualifications at the time of hire. PhD in biostatistics, statistics, or related field Experience using R and/or Python to carry out data analysis
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Histological techniques. Experience with Python, MatLab, or R. Experience with nonmurine mammals How to Apply: For full consideration, please submit the following document(s): A letter of interest describing
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research protocol information Electrophysiology Multiphoton or confocal imaging Histology, CLARITY, in-situ hybridization Programming (Matlab/IgorPro/Python), electronics fabrication How to Apply: For full
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(4) years of experience analyzing data using a programming language, such as R or python Experience programming and attributable source code in R, Python, or related languages that are widely used in
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: Programming in Java, C, C++, C#, Python Data Structures Unix Web Programming Computer Architecture Concepts of Programming Languages Databases Ethical Hacking Ethics in Computing Principles of Cybersecurity
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Engineering. Classes may be on-campus, online, or hybrid. Examples of courses/subject area include the following: Problem solving with C,Python Logic Circuit II – ECE2411 Circuits Analysis Computer Architecture
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principles relevant in medical research Advanced programming skills in a common statistical software package (such as SAS, R, python, etc.) Ability to analyze and solve complex problems and apply quantitative