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behavior, production economics, industrial organization, or marketing. Fluency in econometric software (e.g., R, Stata, MATLAB, or Python) is strongly preferred. This is a one-year full-time appointment with
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behavior, production economics, industrial organization, or marketing. Fluency in econometric software (e.g., R, Stata, MATLAB, or Python) is strongly preferred. This is a one-year full-time appointment with
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pathways for electric power systems. Desired experience includes optimization and simulation of electric power systems under uncertainty, programming in Python, Julia, and/or MATLAB, and excellent
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behavior, production economics, industrial organization, or marketing. Fluency in econometric software (e.g., R, Stata, MATLAB, or Python) is strongly preferred. This is a one-year full-time appointment with
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microbiome data analyses • Ability to write code in R and Python • Proficiency in bioinformatic/computational/statistical analysis of multivariate data integrating microbial community metrics with continuous
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(https://tinyurl.com/DAS4Whales ) Python package. Given the multidisciplinary nature of the project, a wide range of applicant profiles (e.g., backgrounds in acoustics, geophysics, seismology, oceanography
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. Demonstrated experience with mouse models, molecular biology, histology, or microscopy techniques. Strong organizational and record-keeping skills. Programming experience in Python, MATLAB, or R is a plus but
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Requirements PhD in Microbiology or related field Required skills Substantial experience with microbiome data analyses Ability to write code in R and Python Proficiency in bioinformatic/computational/statistical
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development Requirements PhD in Microbiology or related field Required skills Substantial experience with microbiome data analyses Ability to write code in R and Python Proficiency in bioinformatic
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using deep learning and AI on remotely sensed data and programing skills in Python, C, Matlab or R. Supervision Exercised This position may supervise both graduate and undergraduate students. To apply