41 parallel-computing-numerical-methods uni jobs at Technical University of Denmark in Denmark
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food processing methods impacts nutrient stability, and to explore the broader implications of processing on food quality, nutrition, diets and health. The research focuses on various processing methods
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for phage display selections such as toxin purification from venoms. Requirements: Accepted for a MSc program at DTU. Previous working experience in a laboratory setting, e.g. in GMO class-1 labs is mandatory
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control, as well as machine elements and design optimization. The research rests on theoretical, numerical and experimental investigations of phenomena that are most often highly cross-disciplinary and span
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Technology and Computer Science”, where you will have about 20 colleagues with a mix of research and industrial experience. We work with research, innovation, technology implementation, and education
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Job Description Are you passionate about applying quantitative methods to overcome challenges in healthcare and healthcare operations? Do you want to make a lasting impact on health systems, policy
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, entrepreneurship, and work-life balance. Be part of a university that values innovation, societal impact, and diversity. In this position you will develop and lead a research program focused on applying quantitative
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, we work to develop new environmentally friendly products, more sustainable production methods, innovative bio-based materials, climate-resilient farming solutions and much more. The management teams
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grant applications. Implementing and characterizing new imaging methods, protocols and experimental set-ups. Responsible for maintaining equipment service contracts and industrial research collaborations
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for clean water, sustainable fuels, chemical cycling of plastic waste) by leveraging data-driven methods. This role also offers an exciting opportunity for project management, with AI tools to explore how
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measures, 2) development of qualitative and quantitative methods for integrating knowledge from stakeholders and scientific sources, 3) development of adaptive fisheries management methods that accommodate