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pharmacology. The PhD project will focus on testing and optimizing antisense oligonucleotides in preclinical in vitro models, as well as formulating these molecules into a novel biodegradable delivery system
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The primary tasks will be to: Synthesize thin films of solid-state battery components, following established protocols. Optimize the sensing schemes of a new state-of-the-art commercial scanning NV magnetometer
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implementation of these within optimized computer code, but also large-scale applications of the resulting methods to various chemical problems of interest. Candidates with a strong background in theoretical and
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skills and a keen interest in data-driven research. Your role will be to apply the developed semantic infrastructure to concrete case studies—such as cross-unit scheduling, process optimization
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structures, followed by thorough characterization of their chemical, structural, and mechanical properties. You will work on understanding and optimizing foam properties such as porosity, elasticity, and
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verification of compiler optimizations in Rocq The position is for 15 hours per week. Starting on September 1, 2025 - or soon thereafter . The place of work is: Computer Science, Aarhus University - Åbogade 34
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background in physics, optics/photonics, materials science, nanotechnology, computer science, or related fields. Responsibilities Operate hyperspectral imaging systems (VIS–NIR/SWIR) for scanning of advanced
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are to support the integration of computational workflows, data pipelines, and interactive dashboards, within research projects (including population surveys and randomized trials). Your main responsibilities
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chemical–biological pathway. The advertised positions will support these efforts through research on advanced carbon capture methods, process modelling and optimization, and biological CO2 valorization in