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Integration of microglia into assembloid systems and optimization of co-culture conditions Phenotypic characterization of disease-relevant features, including neuronal loss, microglial activation and astroglial
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and the upgrading of traditional vaccines, breakthrough the key technical bottlenecks in basic research, process development and production of vaccines, continuously optimize the industrial structure
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scientifically diverse team to achieve assigned research objectives. Candidates with experience in the following areas are especially encouraged to apply: Development and optimization of next-generation sequencing
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regulatory elements (e.g. microRNA binding sites) that control gene dosage of haploinsufficient NDD genes, with direct translational potential. Preferred skillset: Experience with establishing and optimizing
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(training provided). Design and optimize protocols for new biophysical assays to address complex cancer biology questions.– Example project: Science, 2023 Writing and submitting NIH training grants, including
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methods (e.g., PCA, PLS-DA, clustering, neural networks) to enable automated, polymer-specific classification. Optimize workflows for high-throughput imaging and real-world sample variability, minimizing
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biomedical and biological data, including developing and optimizing models to predict disease progression and create realistic patient profiles; Building and optimizing pipelines for pre-processing and
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Development & Maintenance: Drive the development, optimization, and upkeep of the lab's computational tools and analysis pipelines, ensuring that they robustly support and accelerate the team's research
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benchmarking and comparative evaluation of gene perturbation models across diverse single-cell datasetsCollaborate closely with Helical-AI on scaling, optimization, and integration of the developed models within
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for the optimal candidate later dates may be negotiated. You can read more about career paths at DTU here . Further information For further information about the research at SurfCat at the Department of Physics