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iNANO at Aarhus University is seeking a postdoctoral fellow for the Novo Nordisk Foundation CO2 R...
Do you have a passion and vision for developing new platforms for scalable microbial electrosynthesis of CO2 to methane? Come and be part of the team of Profs. Alfred Spormann at the NNF CO2 Research Center to unlock the power of science and technology! Starting date and duration of...
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model simulation techniques. Can conduct data analysis and visualize results in R or comparable tools. Has knowledge of environmental risk assessment of pesticides on non-target organisms. Possesses basic
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model simulation techniques. Can conduct data analysis and visualize results in R or comparable tools. Has knowledge of environmental risk assessment of pesticides on non-target organisms. Possesses basic
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. Programming experience is required (Python, R). Strong analytical, organizational, and record-keeping skills Interest in working in a multidisciplinary and multicultural team Willing to collaborate with
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a team. Willingness to engage in application-oriented R&D, by closely interacting with company staff. Exceptional problem-solving skills and the ability to think creatively and innovatively. Self
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stronginterest and experience with GIS data and tools for urban mobility with someprogrammingskills of Python/R, JavaScript, database management environments, Geographical AI and machine learning workflows
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businesses use self-regulation (S-R) to influence public opinion and preempt statutory regulation. The postdoctoral researcher will primarily contribute to Work Package 1 (WP1), which focuses on survey
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: Utilize Python, R, SQL, and containerization (Docker, Kubernetes) to run data ingestion and processing within automated data pipelines Optimize data processing workflows, reducing manual intervention
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. Programming experience is required (Python, R). Strong analytical, organizational, and record-keeping skills Interest in working in a multidisciplinary and multicultural team Willing to collaborate with
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, Statistics or other fields related to Epidemiology or Environmental Medicine. The ideal candidate has prior experience in working with health data, has previously worked with R or similar statistical analysis