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application spaces. The research will focus on detailed trace element and isotopic characterizations via inorganic mass spectrometry and using a variety of elemental and isotopic approaches. As a U.S
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must have the following essential skills: Strong background in plant breeding and genetics Strong computer skills and proficiency in R or other programming languages Outstanding interpersonal and
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binding and selectivity manifested in improved separations using the leadership class high performance computing facilities available at ORNL and other DOE facilities. Plan and conduct simulations and work
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. The department also offers a postdoctoral research training program. The department supports an array of faculty (16)-directed research programs of which many are supported by extramural grants and/or contracts
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offers a postdoctoral research training program. The department supports an array of faculty-directed research programs of which many are supported by extramural grants and/or contracts. The department
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in peer-reviewed journals. Excellent written and oral communication skills. Motivated self-starter with the ability to work independently and to participate creatively in collaborative teams across
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. Demonstrated experience working with machine learning and data analytics using tools in programming languages such as Python, PyTorch, Pandas, Scikit Learn, etc., in applied problem-solving contexts
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and oral communication skills and have a strong publication record with a working knowledge of statistical analysis in SAS, R studio, or another equivalent program. Candidates with experience in soil
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laboratory are encouraged to apply. Knowledge of genetics is essential, while previous coursework in neuroanatomy and cell biology are desirable. Good verbal and written communication skills in English are
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at scientific conferences Excellent written and oral communication skills Self-motivated, good interpersonal, communication, and presentation skills Applicants cannot have received their Ph.D. more than five