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Postdoc position to support international research and capacity-building projects employing elect...
assignments The successful candidate will contribute to the acquisition, processing, inversion, and interpretation of large-scale EM datasets for hydrogeological mapping in Ethiopia. The work will involve both
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The Department of Biology, Aarhus University invites applications for a 2-year postdoc position starting April 2026 on: Nature Recovery After Anthropogenic Disasters . This postdoc project is part
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aerosol modules, and assess the importance of different processes with a comparison to available observations. Analyse large model output and observational datasets to determine the impacts and main drivers
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metabolic rewiring. This research builds on our recent multi-omics study (Nature Communications, 2024) demonstrating that maternal lung inflammation at low levels leads to fetal metabolic adaptation without
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given under the specific Post Doc you apply for as well as a motivation letter. Application procedure Shortlisting is used. This means that after the deadline for applications – and with the assistance
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opportunity to join an ERC-funded research project (BioRIcON) focused on developing nucleic acid-based artificial motors and devices for precise regulation of key cellular processes. Expected start date and
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Publication records in international peer-reviewed journals relative to career stage Excellent written and spoken English communication skills Experience with collaborative, cross-cultural research environments
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physiology Language skills (English) Intermediate programming skills (R, Python or Matlab) Creative thinking Level of enthusiasm and motivation As a formal qualification, you must hold a PhD degree (or
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emissions under farm conditions. The role combines fieldwork, laboratory assessment, operation and maintenance of gas measurement systems, and integration of results into emission models and mitigation
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advanced modelling approaches—such as finite element analysis —to capture the nonlinear, multi-physics nature of soft materials. By integrating experimental data and validating simulations, your work will