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of the position include the design and synthesis of recyclable polymeric electrocatalysts. You will characterize the synthesized polymer electrodes using state-of-the-art chemical analysis tools and develop novel
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characterize the synthesized polymer electrodes using state-of-the-art chemical analysis tools and develop novel methods for purifying polymeric electrocatalysts using liquid chromatography. Furthermore, you
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sustainability. You will become an expert in state-of-the-art characterization using large scale facilities, while at the same time help addressing important societal challenges. Information about the project and
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you will work in close collaboration with industrial partners to enable a future combination of competitiveness and sustainability. You will become an expert in state-of-the-art characterization using
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chemistry, nucleic acid technology, and state-of-the-art biophysical methods (spectroscopy, live cell imaging and nanotechnology) to address cutting-edge questions in biology and meet medical challenges. Our
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adaptation, weakly supervised segmentation, out-of-distribution detection and model explainability. The goal is to develop state-of-the-art methods based on key enabling techniques from machine learning
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an international and collaborative atmosphere. We perform both curiosity-driven and applied-research in the areas of fiber-optic systems, optoelectronics and silicon photonics. We enjoy a state-of-the-art laboratory
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supporting activities. Information about the department and the division Our department (MC2 ) is host to the state-of-the-art MC2 Nanotechnology Laboratory cleanroom , the largest such facility in Northern
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use state-of-the-art technologies such as CRISPR, adaptive laboratory evolution, integrative omics data analysis and computational models of metabolism to engineer yeast as microbial biocatalyst. Beyond
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, are instrumental to transition away from fossil-resource dependent processes. In our research group, we use state-of-the-art technologies such as CRISPR, adaptive laboratory evolution, integrative omics data