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scientific programming (e.g., Fortran/C/C++/Python) and Linux is an advantage Experience with data–model comparisons (e.g., Juno, Galileo) is desirable possess a good command of written and spoken English
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evolution, genomics, plant biology, microbiology, or a related field. Computer Skills High performance computing including experience with R, python, and/or general experience with command line coding and
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experience in remote sensing and GIS, strong programming skills (Python, R or similar), and an international publication record. Experience with machine learning and cloud computing will be considered an asset
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Science, Medicine). Programming skills (Matlab, Python) are necessary and experience with brain imaging, EEG, interventional approaches, computational modeling are highly desirable. Above all, they will demonstrate
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of clinical and multi-omic data to uncover microbiome–host relationships -Experience with Python/R and cloud computing required Ideal candidate: A computational biologist or bioinformatician with strong
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, Organization of field trips, data collection and lab work, Spectral data analysis, data processing, and model development, R’ or Python programming, Co-supervise PhD and undergraduate students. Be willing to be
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dynamics, turbulence, or related fields, as demonstrated by application materials. Excellent programming skills (e.g., Fortran, C/C++, Python, or Julia) as evidenced in application materials. Previous
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periodic time series. Responsibilities also include coding the proposed algorithms in R or Python, such as methods for splitting periodic time series into regeneration blocks, and applying them to real
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related discipline. Preferred Qualifications: Research experience in environmental microbiology, particularly in extreme environments. Proficiency in programming languages such as R or Python. Strong verbal
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environmental microbiology, particularly in extreme environments. Proficiency in programming languages such as R or Python. Strong verbal and written communication skills. Demonstrated ability to work effectively