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computational tools developed by our research team for addressing a timely societally relevant problem. Project overview The aim is to unravel the anthropogenic and natural processes, and their relative
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benefits of support in career development, networking, administrative and technical support functions, along with good employment conditions. More information about the department is available at: https
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complexity of organic matter to elucidate pathways underlying the anaerobic transformation of macro and micropollutants and to develop strategies for enhancing their degradation in AD systems. Among
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the RELOC-AGE research programme. A web-based housing counselling service has been developed in the programme with the aim of supporting older people to make well-informed decisions about their future housing
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urban catchments. Develop road designs that optimize water accumulation or flow. Create a framework for the selection and design of climate-adapted roads. The research will primarily involve hydrological
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understanding their pharmacokinetic properties including how the compounds are metabolized to ensure safe and effective drug development. Data-driven life science (DDLS) uses data, computational methods and
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to make a difference. Do you want to be involved and contribute to our development? Together, we can create a sustainable future through knowledge and innovation. We believe that knowledge and new
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backgrounds and perspectives lay the foundation for learning, creativity and development. We welcome people with different backgrounds and experiences to apply for the current employment. We kindly decline
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development of phylogenetic methods. The EvonetsLab is supported by a Starting Grant from the European Research Council and a DDLS Fellowship from the SciLifeLab and Wallenberg Swedish program for data-driven
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development of phylogenetic methods. The EvonetsLab is supported by a Starting Grant from the European Research Council and a DDLS Fellowship from the SciLifeLab and Wallenberg Swedish program for data-driven