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Description The field of combinatorial optimization is concerned with developing generic tools that take a declarative problem description andautomatically compute an optimal solution to it. Often, users
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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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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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(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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networks, for their analysis and optimization, we use tools such as artificial intelligence/machine learning, graph theory and graph-signal processing, and convex/non-convex optimization. Furthermore, our
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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
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microstructure), and computer science (machine learning and artificial intelligence) to achieve a breakthrough in predictive microstructure imaging with MRI. Within the ADAMI project, you will develop and optimize
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predictive microstructure imaging with MRI. Within the ADAMI project, you will develop and optimize an integrated image analysis pipeline to quantify the neural and glial cell composition of brain regions
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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