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. Demonstrated skills in Python programming, or other computer programming. Strong interest in data science, such as data collection and curation, modelling. Excellent written and oral English communication skills
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the biogeochemical mechanisms that underpin the resilience of restored wetlands, integrating field observations, laboratory experiments, and modelling approaches. You will explore how nutrient dynamics, hydrological
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interpretation. A Ph.D. in biostatistics, statistics, bioinformatics, computational biology, or computer science is required. Strong computational background with programming and visualization skills in R and
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) including advance SAXS data analysis and modelling . The following qualifications are also important: Have a good understanding of advanced physical-chemical analytical techniques Experience with in-house
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and in silico techniques. informatics/AI modeling approaches. identifying new therapeutic targets for chronic disease. Key responsibilities include : planning, organizing, performing, and monitoring
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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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-scale screens to study fundamental principles in molecular and complex trait genetics using microbes as model systems. Our core technology MAGESTIC (https://doi.org/10.1038/nbt.4137 ), a CRISPR/Cas9-based
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, lipid metabolism, and gene regulation. We investigate: Lipid metabolism of the nuclear envelope Nuclear pore complex architecture Chromatin-associated signaling pathways As one of our model systems, we
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disorders, and childhood cancers. We employ high-throughput metabolomics, epigenomics, single-cell multiomics, (epi)genome editing, and preclinical models to define disease-associated metabolic and epigenetic
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modelling are an advantage. Documented experience in classroom teaching is a benefit. You will be driving the organic chemistry aspects of two projects. You will collaborate with research groups from