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into multi-omic models, and drawing on genetics to test whether the resulting signals are causal. The postdoctoral fellow will play a key role in multiple research projects, with responsibilities including
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We are seeking applicants for a postdoc position in ‘Mammalian Nuclear RNA Production and Turnover Systems’ to join us at the Department of Molecular Biology and Genetics in the research team
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particles with pos-sible biochar-degrading/modifying microorganisms and the functional and genetic activity of the microorgan-isms. The selected candidate will take on several duties, including collecting
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Postdoctoral position for the project Human AI Collaboration: Imaginaries, Interventions, Interfaces
the department’s teaching and supervision activities and to teach and supervise at BA and MA levels. The department has the following educations: Information Studies, Bachelor's Degree Programme in (2018
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scientific publications and presentations. Experience with the chronic social defeat stress model is particularly desirable. Experience with preclinical PET, radioligand binding, genetically modified mouse
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and different industrial outreach activities The candidate has at least the following qualifications - Applicants should hold a PhD in Computer Engineering, Computer Science, or similar - Cyber-physical
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bird surveys, and Norwegian Institute of Bioeconomy Research, who carry out the genetic analyses. The project will further connect to ongoing research on plastic ingestion and contaminant body burdens
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The Center for Sustainable Energy Materials (CENSEMAT) at the Department of Chemistry, Aarhus University, invites applications for a 24-month postdoctoral position in computational materials
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Robust Automatic Fact Checking (ExplainYourself)’, as well the Pioneer Centre for AI. Who are we looking for? Applicants should hold a PhD degree or equivalent in Computer Science or a related field, and
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important to integrate knowledge on processes of cognitive change and updates among individuals and in interaction with others into our data-driven computational modelling in order to understand broader