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and Immigration website . Full-Time, Fixed-Term (36 months) We are looking for a highly motivated early career researcher with a PhD (or near completion) in psychology, life sciences, genetics
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); units such as onboard computers, mass memories, remote terminals and instrument control units*; digital and analogue signal processing electronics for payload/platform functions; front-end acquisition and
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. the investigations into the physical consistency between different satellite-derived climate data records (e.g. aerosol and cloud properties), and the impact of inconsistencies in the data on applications. the quality
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modelling will focus on integrating the nitrogen cycle and GHG fluxes at the field and farm scales, thereby improving our understanding of how different management practices influence the landscape. Your work
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To qualify for the fellowship, the candidate should hold a PhD degree, or a foreign degree that is deemed equivalent to physics, mathematics, or molecular biology. But more importantly, the candidate should
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Postdoc in assessing carbon sequestration potential of different wetlands as nature-based solutio...
The Department of Agroecology at Aarhus University, Denmark, is offering a postdoctoral position in assessing carbon sequestration potential of wetlands as nature-based solutions under different
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Posting Close Date 01/05/2026 Qualifications Minimum Education and Experience This position requires a PhD (or other doctoral degree) in public policy, economics, education, social work, psychology, public
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have a PhD degree in Electrical and Electronic Engineering or other related fields.To be considered, the candidates are expected to have strong experience/knowledge/capability in the following
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sustainability performance for products and services at different regional levels. We are looking for a researcher with solid experience in sustainability assessment, with life-cycle assessment (LCA) as the
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metrics for reducing the environmental impact of AI and cloud computing Empirically evaluate different parts of the AI lifecycle, including development (training), operation (inference) and use Develop