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breakthroughs in the study of transport across interfaces by utilizing twisted membranes. This innovative method offers an exciting way to tune the properties of the materials. The goal of the Postdoctoral
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record relative to career stage Excellent written and spoken English communication skills Following qualifications will be considered as an advantage: Experience with explainable AI methods Experience with
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students and contributing to educational initiatives. Experience with remote sensing, GIS tools, and image analysis techniques is an advantage, as is knowledge of genetic methods (e.g., SNP-based data
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resource recovery pipelines You will contribute to the translation of structural and biophysical insights into technologies or methods for transforming recovered biopolymers into valuable products or process
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transformation Publish research results in top-tier peer-reviewed journals and present at international conferences. Innovative integration Research and integrate new methods and technologies to merge existing
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this position is to develop and apply methods for studying SOM fractions (size- and density-based) in local long-term field experiments. These studies will provide insights into how organic fertilizers and
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of the plant material intact. The properties of these partially refined ingredients depend strongly on the way of processing. This Fellowship is aimed at developing rapid experimentaton methods that will allow
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and 2005 and utilising various methods from history, digital humanities, and cultural studies. The position is 2,5 years (30 months). The position is based at the Department of History and Classical
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of field-grown vegetables or agricultural crops, and master state-of-the-art experimental and analytical methods in plant physiology, agronomy and agroecological research. You are expected to have research
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biological problems and is thus not focused on development of computational methods. We wish to generate small protein binders against a range of important neuroscience targets – principally intrinsically