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Fluid Balance: How do lymphatics fine-tune the equilibrium between immune tolerance and inflammation? How the optimal interstitial fluids? How the resolution of inflammation and edema? Phenotypic
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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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computing Hands-on experience with PyTorch, including GPU-accelerated model training and optimization Experience training and running models on shared HPC clusters and remote GPU servers, including working in
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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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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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Disease. The antibodies will be engineered for optimal target engagement. The work involves a close collaboration with PI Dr. Simon Glerup (CSO, Draupnir Bio ApS) and Assoc. Prof. Nathalie Van Den Berge
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for internal and external projects, bringing it up to industry standards. You will Develop and optimize the specificity assay for biologics, with technical support. Identify and assess innovative applications
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testing of concrete structures Good Knowledge of data science, e.g. optimization, machine learning, and structural sensing technologies Openness to interdisciplinary research and commitment to teamwork
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different targeting ligands and conjugation chemistries to develop RNA conjugates capable of reaching specific organs and tissues following in vivo delivery. You will also develop and optimize methods