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-field, and field-scale research facilities, advanced computing capacities as well as an extensive national and international researcher network. The department consists of eight research sections with
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a research climate encouraging lively, open and critical discussion within and across different fields of research a work environment with close working relationships, networking and social activities
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Postdoctoral researcher position/Postdoc in anti-methanogenic potential of bromoform and novel no...
facilities An informal and multicultural research environment with high professionalism and close collaboration and networking activities A workplace characterized by equality and a good work-life balance, and
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a research climate encouraging lively, open and critical discussion within and across different fields of research a work environment with close working relationships, networking and social activities
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, networking and social activities a workplace characterised by professionalism, equality and a healthy work-life balance. Place of work and area of employment The place of work is Aarhus, Denmark and the area
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, networking and social activities a workplace characterised by professionalism, equality and a healthy work-life balance. Place of work and area of employment The place of work is Aarhus, Denmark and the area
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education. We offer professional laboratories, greenhouses, semi-field, and field-scale research facilities, advanced computing capacities as well as an extensive national and international researcher network
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-field, and field-scale research facilities, advanced computing capacities as well as an extensive national and international researcher network. The department consists of eight research sections with
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accurate, robust software tools to be used in process simulators for standard and novel carbon capture processes. We aim to improve the robustness and efficiency of CO2 capture simulation for classical
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transcriptomics Genome-wide CRISPR screening in both in vitro and in vivo disease models The project will involve identifying gene regulatory networks driving age-related phenotypes and exploring therapeutic