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optimization, and technology development as part of ongoing projects focused on advancing Power-to-X solutions for a sustainable energy future. Expected start date and duration of employment This is a one–year
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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
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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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, 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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platforms can unify production environments, enabling predictive maintenance and data-driven optimization through centralized data platform architectures. Your research will focus on addressing current
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previously conducted research or have demonstrated knowledge within some of the following areas: classical and/or quantum data communication, error correction, communication algorithms, optimization algorithms
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Now you have an exciting opportunity to shape the future of the Department of Mathematics at Aarhus University, Denmark. You will have the responsibility to secure optimal conditions for our
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machine learning, computational modelling, and advanced data analytics can accelerate not only the discovery, characterization, and optimization of materials but also project assessment and communication
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platforms. Experience in high-performance computing or working with large-scale simulation environments. Prior work involving model calibration, optimization under uncertainty, or scenario analysis
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researchers passionate about making a difference in the field of science. About SCC SCC is a climate cluster organization established to create an optimal framework at SDU for groundbreaking, excellent and