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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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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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proteins with regard to their role in the development of cancer, the emergence of therapy resistance, as predictive markers to guide therapy and as therapeutic targets. Your Responsibilities Independent
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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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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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, predict, and treat diseases. You will work with multimodal biomedical datasets including omics, imaging, and patient data and apply cutting-edge AI models such as graph neural networks, transformer
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computational models to map co-expression networks and predict systemic disease transitions. Characterise intestinal microbiome changes and their correlation with inflammatory diseases. Computational modelling
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to integrate various structural biology data (NMR, SAXS, FRET, EPR) as well as computational models and simulations to create and interpret conformational ensembles of disordered protein regions, with the goal
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attacks Develop and implement ML algorithms to identify vulnerabilities and predict potential threats in supply chain systems Prepare project deliverables and disseminate results through high-quality
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, for discovery, prediction and causal inference in epidemiological studies (including but not limited to genome-wide association studies of molecular phenotypes, Mendelian Randomization, co-localisation