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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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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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, 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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(bio-)chemistry, physics, and engineering expertise to study molecules and cells, taking advantage of optical and single-molecule imaging, molecular probes, molecular biology, and 'large' data analysis
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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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, and theoretical analysis using Leslie-Ericksen theory for liquid crystal flow as well as theory for viscoelasticity of polymeric liquids. Both in the practical and simulation/theory work you will be
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of religion. Methodologically, the project does not presuppose a modern concept of disability or healing and instead works with an actor-centered approach. The analysis is focused on intersections of dis
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relationships. You are motivated to acquire new skills and work in a multidisciplinary team. You have practical experience with experimental work and data analysis. You act with attention to quality, integrity