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the controlled formation of target semiconductor materials within confined spaces; (3) pores – structures that regulate the selective entry of metal species into nanocompartments; and (4) inert surfaces – outer
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components. This specific postdoctoral project aims to develop methods for designing 2D protein lattices that serve as scaffolds for attaching other protein assemblies with precise geometry, thereby creating
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. The group develops advanced methods to identify bacterial communities, understand microbial interactions, and create biological solutions based on naturally occurring microorganisms. The project is conducted
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, including people’s interactions with the natural world and consequences for human wellbeing. MGeo advances and deploys cutting-edge methods, models and technologies in environmental science, quaternary
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-based detection in order to achieve the highest possible sensitivity in the brain-to-blood clearance assay. This is a new method, developed at a theoretical level specifically for this consortium, and our
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for scientific and pedagogical qualifications. The research will encompass the independent planning and performing of the necessary experiments to develop methods to investigate proteomic alterations in isolated
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imaging technologies. Strong programming skills in at least one scientific programming language. Solid understanding of statistical methods, machine learning, and/or image analysis pipelines. Strong written
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optical-based methods. Work duties The main duties involved in a postdoctoral position is to conduct research. Teaching may also be included, but up to no more than 20% of working hours. The position
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on economic theory and quantitative methods as important tools. The research topics are oriented towards issues of high relevance for society. The Department has an acknowledged international publication record
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an investor. Specifically, we aim to develop new methods for regime models, including automatically distinguishing between relevant and irrelevant data, developing appropriate model evaluation criteria