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of the research group and others as described in the Duke University School of Medicine Honor Code of Professional Conduct and other relevant conduct policies about other schools at Duke University. Compliance with
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Regular/Temporary Regular Job Code 9546 Employee Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job Dr James Cotner and Dr Timothy Griffis are recruiting a postdoctoral
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emphasis on the role of collective bargaining and other forms of collective worker voice in shaping outcomes. Research activities will include conducting interviews, site visits, worker surveys; coding and
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veterans and disability. As required by Ohio Revised Code section 3345.0216, Ohio State will: educate students by means of free, open and rigorous intellectual inquiry to seek the truth; equip students with
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of the ‘population code’, gaining a causal understanding of how population activity drives actions. The postdoc will work with the PI to develop an independent project, that leverages the expertise of the lab and the
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support. Preferred Knowledge, Skills, and Abilities: Ability to program and debug python code, particularly Jupyter notebooks. Experience in working on collaborative software projects. Environmental, Health
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. Selection Process Received applications will be considered carefully in line with principles of the EU Charter and Code for Researchers . Selection criteria: (i) meeting qualification requirements described
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stability assessment, and control design. Familiarity with CIGRE benchmark systems for power system stability testing. Industrial experience in wind power integration, grid code compliance, or energy system
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practice of Open Science principles (e.g. data sharing, code sharing, public engagement and awareness). Self-motivated, proactive, and takes initiative to problem-solve Understanding of anxiety and
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and type 2 diabetes. Comfortable writing code in languages like R or Python for bioinformatics/statistical analysis or proficiency in Unix shell scripting or high-performance computing. Familiarity