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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
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well as academic relevance in relation to the job description. Participation in networks – national and international. Previous experience with interdisciplinary collaboration and research. Good interpersonal skills
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of Denmark. The position is part of a larger EU project entitled “FEDORA - Federation of network optimisation services, simulation foresights, and data alchemy for adaptable, agile, secure, and resilient
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Postdoc in Psychiatric Epidemiology: Linking Register and Trial Data to Study Postpartum Depressi...
registers. Familiarity with survey-based data collection and handling of longitudinal data. Skills in quantitative analysis using relevant statistical software (e.g., STATA, R, or SAS). Experience with