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, communication algorithms) Parallel programming models and runtimes for emerging architectures (e.g., processing-in-memory, SRAM-centric) Performance modelling & optimisation of ML algorithms on unconventional
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, innate immunity RNA Bioinformatics & High-Throughput Methods (Hyeshik Chang): mRNA vaccine design, RNA sequencing, RNA modification analysis RNA–Protein Interactomics (Jong-Seo Kim): proteomics
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of the project is to develop modular, interoperable R packages that can be integrated with new user-friendly visual data processing applications for metabolomics data analyses in life-sciences, which can be used
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project focuses on long-term historical processes, with particular attention to those characterizing the preindustrial period. The area of specialization is economic and social history, and the research
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environments LanguagesENGLISHLevelExcellent Research FieldBiological sciences » BiologyYears of Research Experience1 - 4 Additional Information Selection process Interested candidates should include: curriculum
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realistic patient profiles; - Building and optimizing pipelines for pre-processing and integrating biological data sources (clinical event sequences, genomic sequences, disease codes) into unified patient