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software (R, python). ● Experience in microbiological and molecular techniques such as sterile technique, DNA extraction, PCR, synthetic community design, etc. ● Experienced in designing randomized plant
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, Machine Learning, Data Science, Computer Science, Electrical Engineering, Biomedical Engineering, or a related field. Experience with image analysis, computer programming using Python and R, and machine
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programming skills in Python. Strong foundation in statistical genetics and quantitative methods for analysing large-scale genetic and molecular data, with familiarity with modern machine learning approaches
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techniques. ● Proficiency in instrument control, data acquisition, and data analysis using tools such as LabView, Python or MATLAB. ● A record of peer-reviewed publications and demonstrated ability
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(for example Python, bash, or an equivalent language). ● At least one peer-reviewed publication in a scientific journal. Preferred Qualifications: ● Experience with free-energy or phase-boundary
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, co-expression analysis, de-novo assembly, read alignments, whole genome polymorphism calling, and population genomics. Must be proficient in R, BASH, Python, Java, and/or Perl programming languages
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National Aeronautics and Space Administration (NASA) | Hampton, Virginia | United States | 26 days ago
programming experience related to finite element analysis and scientific computing in Python. Field of Science: Aeronautics Advisors: George Weber [email protected] (215) 266-7062 Questions about this
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Bayesian inference, likelihood-free inference, uncertainty quantification, identifiability analysis, or scientific machine learning. Strong programming skills (Python, Julia, Matlab, C++, or similar). Strong
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Strong programming expertise in Python and experience with frameworks such as PyTorch, Hugging Face Transformers, or equivalent tools Demonstrated ability to develop scalable, automated, and reproducible
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control and related). Experience with experimental methods and data acquisition systems like LabView or similar systems will be beneficial Strong, proven programming skills in Python. Proficient in written