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, molecular techniques and bioinformatics analysis is desirable. Experience in data analysis is advantageous. The applicant must be willing to travel for a 2-3 month research stay to learn new skills
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machine learning for safe and optimal control of cyber-physical systems. The projects are expected to be funded by the VILLUM INVESTIGATOR project S4OS (“Scalable analysis and synthesis of safe, secure and
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neural networks are large black boxes, we need both automatic methods to analyze such systems and human-interpretable certificates of the analysis results. We will devise automatic and sound methods
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strong Danish or Nordic element. The applicant therefore must be fluent in English as well as in Danish, and hold a Danish law degree. Ideally, the applicant must have undertaken previous study/research in
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exploit such biomass when scaled up and integrated into an industrial setting. This analysis requires the combined application of qualitative and quantitative approaches to identify and describe future
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protein design programs and analysis tools is crucial. Knowledge of programs like Rosetta, RF-diffusion, FoldX and python is necessary. Apart from very good modeling skills, knowledge in protein production
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and European companies and international academic partners. The AI4OR group focuses on solving complex problems, which require high-level modelling, data analysis and management capabilities as
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analysis of unbounded operators, preferably with a prior acquaintance with quantum transport, decoherence and thermalization in connection with spin-boson models. Experience with Schrödinger operators is a