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Field
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campus as arts and sciences. The fellow will lead the development and validation of imaging-based models to predict patient response to cancer treatment (80%) and will manage the unit’s AI/ML core
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their analysis with neurogenomics and with deep learning models to reveal novel genetic and neuroanatomic risk factors for Alzheimer’s disease. Preferred Qualifications: Ph.D. in neuroscience, computational
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14.12.2022, Academic staff The BMBF-funded position is part of the CoMPS project, which is a multidisciplinary project combining the fields of mathematics, computer science, geophysics, and high
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modeling of biological systems. One major effort in the lab is the µDicer platform (https://www.nature.com/articles/s41378-024-00756-8(link is external) ; https://www.biorxiv.org/content/10.64898
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are modeled using information theory. We wish to investigate how interleaving can reduce the overhead and computational load due to coding coefficients required in classical linear random network coding