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with advances in automation, analytics and data science, has fundamentally changed the scope and ambition of harnessing the potential of biological systems. Big data approaches and analysis of biological
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with digital technologies for big data-driven strain design. Key partners in this initiative are The Novo Nordisk Foundation Center for Biosustainability’s (DTU Biosustain) Biofoundry and the University
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. Understanding of embedded programming, computer architecture and digital electronic systems. Experience with low-level bare-metal coding, particularly in C/C++. Understanding of digital electronic systems
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Biosustain and ensures effective development and implementation of strain design procedures in our design-build-test-learn workflow using big data and data science. The Analytics team is part of the Biofoundry
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Computer Science and a PhD or equivalent within structural optimization. Preference will be given to candidates with experience within large-scale topology and/or shape optimization and HIP based clusters
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within energy systems. The interdisciplinary research can draw from operations research, systems engineering, mathematical modelling, data science, economics and political analysis. The work will require
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:59 Danish time). Open the “Apply now” link, fill out the form and attach your motivated application, CV and relevant certificates. If you would like additional information about the position, please