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-year postdoctoral position aimed at the development of a novel organic-electronics technology, termed a light-emitting electrochemical cell (LEC). The LEC is currently attracting increasing interest from
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electronic characteristics. The project’s goal is to develop fundamental understanding and innovative fabrication processes to solve urgent problems in organic electronic devices, and to enable new components
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to humans and are accessible to algorithmic techniques while neural models are adaptive and learnable. The aim of this project is to develop models which combine these advantages. The project includes both
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analysis of complex, longitudinal, and high-dimensional data (e.g., immunometabolic profiles, clinical data, biomarkers). Development and application of predictive models and algorithms for diagnostics
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questions include automated modeling and model simplification/refinement supported by generative AI, system identification, and 3D reconstruction algorithms. Additionally, the research involves developing
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between these duties varies over time. During the employments three initial years, the employee is offered 30% of full time for competence development, which may be used for own research and other
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into how algorithmic systems influence the circulation of information and disinformation across digital platforms, and how such processes affect perceptions of credibility, truth, and democratic
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data is therefore a merit. You are expected partly to implement and support already planned projects and partly to independently plan and implement projects, develop methods and support PhD students
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at the intersection of computational modelling, cutting-edge analytical chemistry, and experimental toxicology. The overall aim is to develop and validate new computational models to better understand how
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Horizon Europe. The MIPrecise project aims to develop nano-antibodies and DNA and mRNA probes to capture tumor circulating cells, cancer-cell free-mRNA, cancer-DNA from the blood-based liquid biopsies