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thinking skills Strong initiative and takes ownership of work The candidate should have relevant competence in the areas of processing technology, physical and structural analysis, material formulation, and
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molecular biology approaches, live cell imaging and the generation and analysis of multi-omics data sets. The successful candidate will be responsible for accurate and efficient data generation, data
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support multi-omics data analysis, including microbiome (16S, metagenomics, metatranscriptomics), bulk and single-cell/spatial transcriptomics, proteomics, metabolomics, and integration with clinical
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-methods studies across design, delivery, analysis and dissemination. The role includes producing peer-reviewed outputs, supporting funding applications, and translating research into practice and policy
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in focus group interviews and surveys for social science research Ability to run standard statistical tests (e.g., using SPSS or Mplus for regression analysis and SEM, etc.) Knowledge of advanced
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, process mining, conformance checking, and token-based what-if analysis. Build and integrate LLM-enabled multi-agent components for expert elicitation, structured questioning, explanation, and knowledge
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genomes has increased greatly with current technologies, but the necessity of characterization of sex chromosomes and their structural annotation represents a bottleneck in the analysis of newly assembled
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compare these insular giants with their modern mainland relatives using a variety of methods including statistical shape analysis and virtual biomechanical simulation. About the role The main purpose
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, contribute to the design and analysis of intervention studies including randomised controlled trials, and translate complex findings into outputs that inform clinical practice and prevention strategies
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strategies for sampling and analysis of diagnostic and therapeutic proteins in biological matrices, for example from a single drop of blood. Our goal is to bring advanced protein analysis closer to clinical