128 development-"https:"-"https:"-"https:"-"https:"-"https:" Postdoctoral positions in Netherlands
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Are you a development economist passionate about climate adaptation and food security in sub-Saharan Africa? This post-doctoral position offers a rare opportunity to contribute to an ambitious
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Give robots a human-like sense of touch. Develop integrated sensors and mixed-signal readout ICs for flexible electronic skin, enabling fast, robust and scalable tactile intelligence for advanced
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environmental disciplines, as well as for its interdisciplinary work. The mission of the institute is to contribute to sustainable development and care for the environment through scientific research and teaching
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manage the current developments in employment practices, technology, demography, and organizational structures. Our research is anchored in three interconnected pillars: work design, work relationships
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agriculture, biodiversity, forestry, urban-rural interface, human-environment systems and/or climate change impacts. Further, we search for a candidate who can educate and inspire the next generation of Remote
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quantification using TROPOMI Observations). COGNITO aims to develop the first global, satellite-based system for detecting and quantifying carbon monoxide emissions from major urban areas and industrial facilities
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Are you interested in the future of Plant Breeding and exploring the genetic potential of plants to develop resilient crops for a sustainable agriculture? Then this vacancy may be of interest to you
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, cash flows, and long-term business viability. Your Role We are seeking a highly motivated and creative postdoctoral candidate to develop data-driven financial forecasting, planning, and scenario-analysis
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of building codes for tsunami design and the development of analytical methods for assessing buildings under tsunami loads. Despite this growth in activity, there are still many areas of tsunami interactions
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addresses these gaps. The research consists of: Develop a new dataset of observed damages and physical conditions based on insurance claims, and deriving improved, statistically robust damage functions