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Informatics and Image Analysis at the Department of Health Science and Technology, along with Steno Diabetes Center North Denmark. The successful candidate is expected to hold: A master’s degree in clinical
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The research project The PhD project is part of a network of 15 doctoral theses that all contribute to the overall goal of understanding social entrepreneurship (SE) scaling. This particular PhD thesis is part of the work package on “Impact Investing for Social Entrepreneurship Scaling”. The...
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into an industrial setting. This analysis requires the combined application of qualitative and quantitative approaches to identify and describe future technological and resource availability scenarios, to understand
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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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to be highly motivated for exploring the academic world and have excellent English skills, both verbally and written. The candidate will be part of the Visual Analysis and Perception Laboratory at Aalborg
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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
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. Knowledge to, or experience with advanced molecular techniques(e.g., transcriptomics, metabolomics, proteomics) and bioinformatic analysis will be advantageous. Proficiency in data analysis, statistics, and