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Field
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electronics. Experience in C/C++, Matlab, and Python programming. Experience in power systems software like PSCAD, PSS/e. Preferred Qualifications: Experience in real-time simulation hardware like Opal-RT and
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learning and AI methods are preferred Strong skills in R and/or Python. An interest in conceiving and designing new projects, in line with the groups’ research focuses. A proven track record showing
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software as indicated in application materials. Experience with data analysis in R and/or Python as indicated in application materials. Experience working with AEM surveys of unconsolidated aquifers as
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learning methods Strong programming skills in Python and/or R Experience with deep learning frameworks (PyTorch or TensorFlow) Knowledge, Skills and Attitudes: Snakemake pipeline development with Conda
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programming languages such as Python, Go etc. Ability to model Argonne’s core values of impact, safety, respect, integrity, and teamwork. Interpersonal skills, oral and written communication skills, and ability
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field completed within the previous five years and a minimum of two years of academic research experience in a related field; competency in python, MATLAB or some alternative will be considered. PREFERRED
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to meet these eligibility requirements will not be considered. Applicants should have experience in performing statistical and bioinformatic analyses using the R/Python programming languages. Experience
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field. Hands-on experience with free-space optical alignment, THz beam delivery, electro-optic sampling, polarization optics and imaging, or time-resolved pump-probe experiments. Proficiency in Python
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. Proficiency in scientific programming (e.g., Python, Fortran) for data processing, model development, and computational analysis. What You Need to Know Salary: Compensation for this position is commensurate
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related discipline. Proficiency in programming languages for data analysis (e.g., Python, R) and experience with machine learning, statistical modeling, and wearable sensor data analysis is desirable. We