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Field
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the best outcome. Precision medicine methods leverage individual-level characteristics to help optimise treatment choices for individuals. This project will leverage recent advances in Bayesian statistical
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Your position This project addresses that limitation by designing ultrasmall nanoparticles suitable for intravenous delivery and tumor targeting, with a specific focus on neuroblastoma. Building
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uncertainty about those conclusions (uncertainty quantification). Bayesian inference and experimental design methods are increasingly used in scientific practice, and offer appealing theoretical guarantees when
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-targeting AAV variants will subsequently be tested in a PMLD1 mouse model to determine their therapeutic potential in vivo. The project requires a strong foundation in neuroscience and an interest in both
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assess their effects on myelination and oligodendrocyte survival. The most promising oligodendrocyte-targeting AAV variants will subsequently be tested in a PMLD1 mouse model to determine their therapeutic
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agents for the imaging of solid tumours. Project Overview The successful candidate will contribute to the design, synthesis, and evaluation of innovative tumour-targeting contrast agents for applications
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://www.academictransfer.com/en/jobs/363360/phd-position-targeting-the-micr… Requirements Specific Requirements We are looking for an ambitious PhD candidate to study the interaction between E coli carriage, bacterial
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before the deadline. In many applications such as biological sciences, social science, and engineering, we encounter high-dimensional observations. Bayesian approach can provide a flexible modeling
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Approximation calculations, whose direct use in Bayesian parameter estimation is currently computationally prohibitive. By providing a fast and statistically controlled surrogate for these calculations
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German Cancer Research Center in the Helmholtz Association (DKFZ) | Oettingen in Bayern, Bayern | Germany | 3 months ago
, the German Cancer Research Center is seeking, as of October 2026, a PhD Candidate focusing on "Molecular resolution imaging of immunotherapy target receptors in multiple myeloma" Reference number: 2026-0127