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to support interdisciplinary projects within the PANDA programme. We are seeking highly motivated colleagues with strong quantitative and analytical skills to contribute to the coordination of research
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experimental team to build and apply analytical frameworks that translate these data into mechanistic insight and therapeutic hypotheses. As part of the Bioinnovations in Brain Cancer initiative, the Fellow will
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key part in advancing translational research, with a strong emphasis on assessing brain exposure in vivo using quantitative analytical approaches. Key responsibilities include: Designing and conducting
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cutting-edge expertise in a wide variety of modern disciplines, including analytical, organic, inorganic, physical, and materials chemistry, as well as biochemistry. Our department is equipped with state
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, FACS). Experience in hybridoma generation and in vivo mouse models of cancer is highly desirable. Strong analytical, organizational, communication and leadership skills. Ability to work both
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sequencing. Assist in the implementation of analytical pipelines for large-scale omics datasets, including next-generation sequencing and array-based datasets, with a primary focus on methylation data analysis
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monitoring of key analytes relevant to environmental and public health. This position will play a critical role in designing, fabricating, and validating cutting-edge biosensing technologies, with an emphasis
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conditions. Perform polymer and product characterisation using analytical techniques such as DSC, TGA, SEM, FTIR, GC–MS and HPLC to quantify depolymerisation performance and product purity. Contribute
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of research, testing and data collection, analysis and evaluation, and writing reports which contain descriptive, analytical and evaluative content. The purpose of this role is to acquire the professional
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), (c) estimation methods for latent variable models (e.g., two-step approaches or approximate maximum likelihood estimation), or (d) meta-analytic models to address complex data structures (e.g., spatial