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the Research Group “Nonlinear Optimization and Inverse Problems” (Head: Prof. Dr. D. Hömberg) starting as soon as possible. The project is part of a BMBF project concerning industrial scale data preparation
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Decision Intelligence for Supply Chain and Operations Optimization. The successful candidate will contribute to cutting-edge research at the intersection of Statistical Machine Learning and Generative
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critical quality attributes Optimize design and process parameters to ensure efficient production of highly potent mRNA Evaluate multiple DNA-based platforms for optimal mRNA potency and process parameters
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electromagnetic simulation techniques and incorporate the characteristics of new materials to design motor structures, and perform multi-objective optimization aimed at enhancing motor efficiency, power density
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% position as researcher is available. The position is external financed by The Norwegian Cancer Society and for the time being a part of the project “Studying PD1-PDL1 interaction to optimize immunotherapy
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The Department of Biology is seeking a dedicated and detail-oriented Research Assistant to join our lab focused on developing and optimizing stem cell-based therapies for spinal cord injury. In this engaging role
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cell factory development, data analysis and fermentation optimization. Oversee project planning, execution, and resource allocation. Provide teaching, scientific guidance and mentorship to PhD and Msc
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, data analysis and fermentation optimization. Oversee project planning, execution, and resource allocation. Provide teaching, scientific guidance and mentorship to PhD and Msc students. Secure research
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environment,-you would like to focus on research and practical work with optimal number of classes,-you want to gain knowledge and skills necessary to have impact on the world,-you want your answer
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based at the Department of Obstetrics and Gynaecology, University of Cambridge. They investigate the mechanisms by which sub-optimal nutrition in early life can affect reproductive ageing, the impact of