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that support global sustainability objectives. Job Responsibilities Typical Functions: Research & Analysis: Conduct laboratory-based research on bio-based and compostable packaging materials; analyze data
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, and research articles, and participate in conferences. Candidate Profile PhD degree in Materials Science, Chemical Engineering, or a related field. Strong background in materials synthesis and
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
for PhD-level researchers with excellent study management and analytic skills who are interested in the role of peers, social media, and the developing brain. We collect data using diverse methods
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, neural engineering, and data analytics. Among the key duties of this position are the following: Collecting behavioral and electrophysiological data in the clinical environment. Writing replicable code
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their roles in the development of these diseases. To achieve this goal, the researcher hired for this PhD position will work with the Centre’s datasets, analytical methodology, and computational tools
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novel in-situ testing methodologies to observe deformation mechanisms at micro/nano scales. Data Acquisition and Analysis 25% Operate and maintain advanced experimental equipment, including but not
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Centre in the Denmark Hill Campus. The applicant should have a PhD in Biomedical Engineering, Medical Physics, Medical Imaging, or a related area (or pending results). They should have good analytical and
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Immunohistochemical staining preferred. Experience with sequencing data analysis preferred. Education Requirements (Essential Requirements): PhD required Work Experience Requirements (Essential Requirements): Work
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analytics, data science, computational social science is preferred. PhD in other disciplines will be considered if the research is relevant for studying group adaptation/evolution, big data analytics
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fractionation (i.e. surface biotinylating, gradient centrifugation, and be proficient in advanced data analysis (i.e. R, Python). Excellent analytical, organisational, and problem-solving skills are essential