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(e.g., Python, R, MATLAB) Strong interest in both neuroscience and computational methods Desirable criteria Strong interest in neurodevelopment and/or neurodevelopmental conditions Previous research
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monitoring. Familiarity with computational image analysis, scripting (Python, MATLAB), or machine learning–based image workflows. Experience with method development, imaging assay optimization, or pipeline
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with material characterization such as XRD, SEM, FTIR, ICP-OES Very good programming and user skills in Python, MATLAB, LABVIEW or comparable technical computing and simulation environments Good English
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(such as R and Python), and other data analysis tools (such as MATLAB, SPSS, SAS, Qualtrics, and Tableau). Experience training and consulting on the development of data management and sharing plans
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analysis using a software platform such as R, Python, MATLAB, STATA, SAS, or others. Proficiency in energy modeling/simulation and cost estimating using such platforms as DesignBuilder and EnergyPlus and
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detailed documentation. • Develop models and implement program code (STATA, Python, SQL, R, SAS, Matlab, etc.). • Perform statistical analysis, including regression analysis and machine learning techniques
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analytics / atmospheric monitoring of greenhouse gases and interest in automated setups and field work. Knowledge of scientific data analysis (e.g. Python, MATLAB or R). Good verbal and written communication
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datasets. 1-3 years of experience with crop modeling using gridded datasets Preferred qualifications Strong programming skills in scientific computing languages (e.g., Python, IDL, R, MATLAB, or similar
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/Qualifications Profile - A solid background in continuum mechanics and computational mechanics is required. Advanced knowledge in scientific programming is also requested (e.g. Python, Matlab, possibly FORTRAN
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programming languages like Python or Matlab environment. Knowledge for programming (python) would be a plus for the force curves interpretation since some codes have been developed for the 3D -AFM data analysis