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, qPCR, digital PCR, amongst others. Sequencing data analysis will be done using data analysis pipelines (Python, R) on the high-performance computing (HPC) infrastructure. About the TOBI lab
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to financial operations Develop systems for automated regulatory compliance checks, fraud detection, risk analysis, or smart contract orchestration Investigate the integration of agentic reasoning with financial
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the genetic and clinical variability of PRPH2-IRD by studying a large patient cohort with detailed genetic analysis and advanced imaging techniques. The project will focus on identifying genotype–phenotype
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their impact on bladder function under physiological and pathological conditions. Work will include data acquisition, analysis, and interpretation, as well as collaboration with clinicians for human
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will include data acquisition, analysis, and interpretation, as well as collaboration with clinicians for human tissue studies. The candidate holds a Master degree in biomedical sciences, medicine
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. Strong knowledge of quantitative and/or computational research methods, ideally in econometric analysis or optimization and simulation models. Preferable knowledge in Python and STATA. A collaborative team
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analysis methods, particularly life cycle assessment and/or ecosystem services assessment, and have a critical and analytical mindset. You are comfortable working with complex datasets, scenario modelling
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of contaminants is an asset; You have skills in statistical data analysis, and are keen on developing these skills further. Basic knowledge of R is an asset; You have experience in working with oligotrophic
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experimental sites • coordinate and perform soil health analysis across all experimental sites • derive cause-effect relationships between drivers (regenerative practices), mediators (soil organisms) and impacts
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conduct stability, reactivity and possible semi-synthesis study of selected bioactive SLs. • You perform a mix of chemical laboratory work and data analysis of natural products. • You contribute to a