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assembly, population genetics, statistical genetics, complex trait mapping, and high throughput sequencing genome and programming proficiency in R, Python, Perl, C/C++, Java, and SAS are highly desirable
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of large-scale genomic and transcriptomic datasets ('big data'), with hands-on experience in high-performance computing (HPC) environments (e.g., command-line interface, scripting in R/Python, use of common
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and statistical skills, with proficiency in R or Python Experience working with longitudinal data, infectious disease epidemiology, or high-dimensional datasets Demonstrated track record of peer
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-on experiences in software design and implementation using Python, C/C++, and Matlab, under Windows and Linux environment, Strong communication skills, and ability to work independently and with
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with the programming languages Python, Matlab, or LabVIEW. Strong oral and written communication skills. Application Instructions Please upload the following with your application: - CV/Resume
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Research Associate, Translational Research Fellow - Dept. Ophthalmology Visual & Anatomical Sciences
and application, CRISPR/Cas mutagenesis, and single-cell RNA sequencing is highly preferred. Proficiency with relevant data analysis and visualization tools (e.g., R, MATLAB, or Python) is required
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interpret research datasets, drawing meaningful conclusions using appropriate statistical methods and scientific reasoning. Develop and optimize computational pipelines, scripts, and workflows using Python
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approaches. Familiar with common scientific programming languages such as python, C++, or Fortran. Experience with high performance computing environments is welcome. Candidates who do not strictly meet these
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electrophysiology (neural recording, EMG, or related techniques) Exposure to sensor design, bioinstrumentation, or embedded systems Programming experience (e.g., MATLAB, Python, or similar for data acquisition
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of the relevant fields. Preferred skills: Previous experience in computational ecology and statistics. R or Python. Statistical analysis tools such as NIMBLE, JAGS or STAN. Familiarity with data processing, quality