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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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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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, goals, networks and/or outcomes? How does the use of AI change the role of human R&D employees in terms of tasks, skill development, career opportunities and wages? What are the wider, societal
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Job Description We are looking for a flexible and competent researcher for carrying out a targeted R&D effort on developing an ammonia adsorption system. The job At DTU Energy we are running several
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genomics, or a related field Solid programming skills in a relevant language (e.g., Python or R) Experience with population genetic simulations (e.g., SLiM, msprime, or similar) Familiarity with calculating
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? How does the use of AI change the role of human R&D employees in terms of tasks, skill development, career opportunities and wages? What are the wider, societal consequences of the use of AI in firm
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/scripting (e.g., Python, R, or Bash) Familiarity with next-generation sequencing data and genome assembly tools Strong analytical and problem-solving skills Excellent written and spoken English communication
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., Python, R, MATLAB) Experience in built environment monitoring Fluent English skills, both written and spoken. Ability to publish research results in high-reputation international journals Personal
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Master’s degree (120 ECTS), with experience in Animal Breeding. Experience with data handling softwares (e.g., R, SAS, Python, Unix Shell) and genetic softwares (e.g., DMU, F90, AIREML). Background in