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in soil processes, plant physiology, plant traits, and species composition Strong data analysis skills, including proficiency in R or Python coding, and/or machine learning techniques Excellent writing
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real-time simulation platforms. Knowledge with designing, modeling, or hardware prototyping of power electronic converters. Proficiency in Python and/or C. Ability to work both independently and
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and other machine learning models (especially neural network models, time-series models) and coding in python and R. Strong collaborative skills and ability to work well in a complex, multidisciplinary
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or MD/PhD Strong programming skills, preferably in R and/or Python Previous expertise and/or interest in single-cell sequencing technologies, bioinformatics, spatial analyses, and generative AI is desired
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skills. Excellent programming skills in Python and Julia with experience with deep learning frameworks (e.g., PyTorch, TensorFlow). Experience building complex software systems, preferably with industry
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with electronic health record (EHR) and/or clinical data. Proficiency in Python, with strong coding and debugging skills. Experience with deep learning frameworks such as PyTorch, JAX, TensorFlow
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technical skills in statistics, data science and psychometrics Experience with open-source software development (or high proficiency) in R or Python Domain knowledge in reading development, dyslexia research
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: Ph.D. in Geography, Geology, Oceanography, Coastal Engineering, Earth Science, Computer Science, or a closely related field Strong programming skills in Python (preferred), Matlab, or R Demonstrated
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required regardless of the Ph.D. degree; Experience with programming (Python, Java, Javascript, PhP, and others) Training in behavioral science research methods and statistical analyses. Experience with
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mathematics and proficient in programming languages like C++ or Python or Matlab. Ability to work with faculty members, undergraduate and graduate students. NOTE: This is a two-year position. SALARY: Up