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methods (e.g., PCA, PLS-DA, clustering, neural networks) to enable automated, polymer-specific classification. Optimize workflows for high-throughput imaging and real-world sample variability, minimizing
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for internal and external projects, bringing it up to industry standards. You will Develop and optimize the specificity assay for biologics, with technical support. Identify and assess innovative applications
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collaboration with ETH Zurich (Switzerland). Within this project, we are seeking a full-time postdoctoral researcher who will play a key role in the development, optimization, and fundamental understanding
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staff and students. YOUR TASKS You'll be working on a research project focused on data-driven modeling for optimizing production processes in the pharmaceutical sector. Your specific tasks will include
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ERC-funded pioneering research line at the interface of neuroimmunology, stem cell biology, and neurodegeneration. Contribute to the setup and optimization of novel xenotransplantation models
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communication and organization skills are warranted. Given the size of the project, we also expect close collaboration with the wet lab team to optimize workflows and procedures and to aid in data quality control
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processes and/or optimization. Specific experience with sampling methods for Bayesian is highly appreciated. Experience with cardiac electrophysiological modeling is a plus. Candidates should have experience
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of complex mixtures, experimentally and/or theoretically. Strong background in conceptual process design, simulations tools (e.g. Aspen Plus and Aspen Adsorption), process optimization and TEA. Ability to work
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(including porosity, binder composition, curing methods) and conduct a sensitivity analysis. Make recommendations for the design of cement-based materials optimized for a rapid and reliable CO2 uptake
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on the development of experimental biopharmaceuticals in oncology. You will be responsible at completing the data package that is required for technology transfer at optimal valuation. You will work in the