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of the following: Ecosystem Modeling, Machine Learning, Microbiome, Microbial Ecology, Soil Science, or Computational Biology. The positions are for several different projects, including the following: (P1
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variety of experimental data, utilize different model structures/modeling techniques, are often closed source or coded in proprietary software packages with poor interoperability, and process experimental
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various methods to measure neural and behavioral responses during live social interaction and their relation to developmental language and social outcomes. The project includes studies across two different
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model system cell lines. Peripheral Blood Mononuclear Cell cultures. Primary Cell cultures. Biochemical Techniques Protein Purification from different sources like plants, and cell lines. Estimation
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therapy. The postdoctoral scholar will work together with additional researchers at different levels to build cellular and animal studies to elucidate the therapeutic potential of a novel molecule in solid
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 17 days ago
162 temporary employees. The Department has 235 students (184 graduate students and 51 undergraduate students). The Department of Biostatistics is housed in three different locations: administrative and
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, Python, Bash). Good level on machine learning. Good level of written and oral English. Ease in a multidisciplinary environment, taste for teamwork, interpersonal skills. Scientific curiosity
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conditions, to large field-scale experiments with wild and domestic grazers. These experiments will test hypotheses related to the effects on nutrient cycling of grazers with different body size and grazing
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experiments with wild and domestic grazers. These experiments will test hypotheses related to the effects on nutrient cycling of grazers with different body size and grazing habits and duration of grazing under
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approaches is optional but extremely useful. We require good programming skills and experience in C++ and its common programming idioms and design patterns . Knowledge of MATLAB, Python, Julia, or a similar