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Field
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quantitative research and analyzing experimental, observational, or engineering data. Proficiency in at least one analytical or programming environment, such as Python, R, MATLAB, or equivalent software
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R and Python and be highly proficient in using R for statistical analysis, bioinformatics, data visualization, and multi-omics data analysis. The candidate should be comfortable independently
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science, or a related field. Relevant experience is welcomed in one or more of the following areas: Programming, particularly Python; laboratory automation; scientific instrumentation control; or AI/ML
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systems, including GPU-accelerated platforms. Develop and maintain scientific software, primarily in Python, using modern practices for software development, testing, documentation, and version control
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; publications--or potential for publications--in academic journals in the field; coding proficiency, preferably in Python; excellent communication and presentation skills; self-motivation; interest in research
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, or Biophysics, with strong quantitative and analytical skills and proficiency in MATLAB and/or Python. Experience with preclinical MRI/fMRI/MRS, rodent models, image processing, functional connectivity, and
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of programming languages and scientific computing environments: Fortran or C/C++, Python, Linux. Experience in the use of data science and analysis techniques for complex data sets, especially with Python. Desired
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persistence. Process environmental and animal-source samples, prepare sequencing libraries (16S and shotgun metagenomics), and carry out downstream analysis in R or Python. Plan and support environmental
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development, calibration, and application of SWAT+ or comparable watershed models. Experience with environmental data analysis and scientific programming (e.g., Python, R, MATLAB, SQL, or C++), large-scale
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to characterize the brain network interactions using connectivity and graph theory metrics. Develop reproducible computational pipelines in MATLAB, Python, R, or similar platforms for electrophysiology processing