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insight into the structure, reactions and intermediates at an atomic level. Our main research fields are: Electrocatalysis for various reactions: water splitting, CO2 reduction ect. Catalytic surfaces
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, while avoiding humidity and gas exposure related robustness issues. You must have a two-year master's degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year master's
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. During the project, you are expected to supervise Bachelor and Master students, work in tandem with colleagues and coordinate with collaboration partners, therefore we expect a high degree of project
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Job Description You will join a supportive and dynamic research team working at the intersection of machine learning and operations research. Your main task will be to design and implement ML
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industrial partners in Denmark as well as abroad. Your primary tasks will be to: Advance research in all aspects of the CO2 value chain Supervise and inspire students at all levels Procure research funding
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a team of 25 colleagues dealing with CCUS, and industrial partners in Denmark as well as abroad. Your primary tasks will be to: Apply AI in context of capture solvent modelling Understand and analyse
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related robustness issues. You must have a two-year master's degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year master's degree. Specialization should be in
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with both academic and industrial partners in Denmark as well as abroad. Your primary tasks will be to: Investigate suitable thermal storage configurations for centralized (district heating) and
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Epidemiology, your primary tasks will be to: Develop and validate novel computational tools for analyzing metagenomic data Publish peer-reviewed research articles on bioinformatic tools and their application
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on a panel of selected test bacteria and culture methods underestimate the biocide tolerance of Campylobacter . Your primary tasks will be to: Collect existing data regarding the biocide tolerance