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quantum processor characterization and benchmarking. Key responsibilities: Develop advanced software for qubit control including aspects such as optimizing timing, multi-parameter control, code
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one of your main responsibilities will be to participate in and help optimize and develop our next-generation sequencing (NGS) workflow. This will include sample preparation either manually or by liquid
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deep learning models, testing and optimizing the models documenting all performed tasks in detail, visualizing the model results, and writing technical reports investigating related software and
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including planning of meetings to ensure fulfilment of milestones and deliverables. Furthermore, the tasks include work on optimizing one-dimensional and multidimensional chromatographic analytical workflows
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DTU Tenure Track Assistant Professor in Nutrient-Focused Processing in Ultra-Processed Food Syste...
, bioactive compounds, and other key nutrients. Develop and apply machine learning and modeling techniques to analyse, predict, and optimize the effects of processing on food composition, food Ingredient
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. We are building up capabilities in technology and policy impact assessment building onto our existing optimization models and tools with the aim of developing a comprehensive understanding for whole
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for industrial production focusing on Tenebrio and black soldier fly. The tasks will include: Establishing nutrient requirements for optimal production and resource utilization in insects produced at an industrial
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and trains the next generation of engineers. About the Section: The Systems Engineering and Optimization section within the department focuses on applying systems engineering principles to the design
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Associate Professor or DTU Tenure Track Assistant Professor (junior group leader) in High-through...
of microbial strains. A key aim will be to uncover the molecular-genetic foundations of performance, enabling more accurate selection and optimization of candidate strains. You will work closely with DTU teams
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focused on applying quantitative tools (e.g., statistics, machine learning, optimization, simulation) to healthcare delivery, healthcare operations and healthcare management as well as medical decision