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variant analysis will be highly regarded (e.g. bulked segregant analysis, mapping population design, whole genome sequencing, long-read sequencing) Experience with R, Python, or equivalent programming
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, including stringent controls, method validation, and troubleshooting in high-variability biological samples. Strong quantitative competence and programming experience (Python and/or R/Matlab) for reproducible
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experience in using statistical and mathematical tools to analyse and interpret soil data, spatial modelling, multivariate statistics and/or machine learning, and relevant coding languages (e.g. R, Python
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analysis skills (R, STATA, Python, Java, etc.). Demonstrated commitment or interest in inclusivity and accessibility for older adults and/or people with disabilities. Outstanding organizational
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at the time of application; (b) have extensive experience in the field of natural language processing; (c) have good working knowledge of Python, Pytorch, Linux, Git, etc; (d) have a good command of
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communication skills; commitment to a team-oriented environment. Desired Qualifications* Experience with single-cell genomics, advanced imaging, or bioinformatics. Proficiency in R / RStudio, Python, or similar
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Computer Engineering, Computer Science, or a related field. - Solid programming skills (e.g., Python, C/C++, MATLAB). - Knowledge or strong interest in at least one of the following topics: Image/video
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absorption or Raman Good programming skills (preferably Python) Strong written and oral communication skills In the assessment, the emphasis is on the applicant's potential to complete a research education
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(e.g., carbon, nutrients, oxygen) or transient tracers such as CFC-12 and SF6, is required. Proficiency in MATLAB or Python is required. Applicants must be able to take part in a nearly two-month-long
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., MatLab, Python, Modelica, C, ForTran, etc. We regret to inform that only shortlisted candidates will be notified. Hiring Institution: NTU