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+ benefits Closing date: rolling basis Goals & Expected Impact “Promoting human health through early diagnosis of degenerative brain disorders” Revolutionise early diagnosis and prediction of neurodegenerative
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benefits About Us Benaroya Research Institute (BRI) has a bold mission: to advance the science to predict, prevent, reverse and cure immune system diseases , from autoimmune disease to cancer to asthma
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promoters. You will train and evaluate predictive models in model/crop species with different levels of genome complexity. You will work very closely together with your dry-lab colleagues for data processing
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single-cell profiling and predictive artificial intelligence models, you will engineer synthetic promoters controlling context-specific gene expression in Arabidopsis. You will develop high-throughput
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on “Maternal Immune Activation” involving the development of novel artificial intelligence methods (graph and geometric deep learning, LLMs, …) working on methods for predictive multi-omics integration
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domains. The scientific outcomes are expected to be significant in: Earth system science – by improving models of Earth surface evolution and enabling better predictions of landscape response to climate
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predictive modelling techniques in the context of a collaborative project with Goodyear Luxembourg (one of our national industrial partners). Road condition is an essential part of mobility which influences
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drug and genetic screens (e.g., DepMap, PRISM) Common bioinformatics resources and pipelines (e.g., NCBI, Ensembl, BWA, STAR, GATK, VarScan, DESeq) Proficiency in Linux and programming languages such as
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resilience and its change over time in the past (based on Earth observation data), present and future (based on Earth system model simulations for different future scenarios, e.g. using the CMIP6 ensemble and
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duties or disabilities – just tell us what you need. Candidate profile The successful candidate will join four scientists on the FIS2-BADGE project, iteratively collaborating to develop predictive