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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
Experience Degree in statistics or bioinformatics relevant field. Three or more years of analysis experience with DNA/RNA sequencing data analysis. Preferred Qualifications, Competencies, and Experience
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of project objectives from assessment of literature, design and analysis of research data and drafting of papers Terms and Conditions Salary will be Grade 8, £50,253 - £58,225 per annum. This post is full time
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to apply Website https://careers.software.imdea.org/phd/2026-01-phd-ossec/ Requirements Research FieldComputer scienceEducation LevelMaster Degree or equivalent Additional Information Work Location(s) Number
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months and is supported by an EPSRC New Investigator Award. The position is to start on 1 September 2026 (subject to negotiation). The successful candidate will be part of the Analysis research group
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master’s degree with academic qualifications in digital health, data analysis, and/or machine learning applied to health research. Admission to the PhD program requires a 120 ECTS master’s degree, including
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contribute to the structural and stability assessment of phage–polymer systems using biophysical techniques and will participate in data analysis and interpretation. Responsibilities: Designing, planning, and
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: https://genomikadlapolski.pl/ ." We are seeking an ambitious individual to join the Laboratory of Genomics IBCH PAS and engage in the work of the G4PL project team, related to the analysis of genomic data
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PhD Studentship: Green vs. Non-Green Innovation: The Role of Regulatory Policies and Market Dynamics
and financial constraints influence firms’ choices between green and non-green innovation, using theoretical models and firm-level data to assess whether environmental policies stimulate or hinder
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. Document research output including analysis and interpretation of all data, maintaining records and databases, drafting technical/progress reports and papers as appropriate. 3. Develop and enhance your
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/nanofabrication, characterization and the development of miniaturized devices. Experience with multivariate analysis, computational methods or statistical techniques is highly desirable. The PhD projects are highly