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industry’s biggest challenges: Closed-Loop Design and Optimization of Biologics. The research program will build on the recent advances in protein design, automation, and multi-parameter optimization and
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solution to carbon capture. During the Villum P2X Accelerator, we will focus on optimizing energy efficiency, designing a prototype, testing it with industrial partners using real flue gas, and scaling
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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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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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optimizing heat transfer, cost-effectiveness, and integration with façade panels. We aim to create scalable, sustainable building solutions. The project is integrated in an international project financed by
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production environments, enabling predictive maintenance and data-driven optimization through centralized data platform architectures. Your research will focus on addressing current bottlenecks in data and
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for optimizing synthetic biology tools for expression of complex heterologous peptides and proteins. Responsibilities and qualifications Your overall focus will be to strengthen the department’s competencies
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multidisciplinary research in energy markets, optimization, game theory, and machine learning. Our team of 13 members (link ), from 10 different nationalities, values diversity and includes experts from a range of
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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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Are you passionate about leveraging IoT, machine learning, and optimization to make energy districts and communities more sustainable? We are looking for a highly motivated and enthusiastic