374 data "https:" "https:" "https:" "https:" "Edinburgh Napier University" research jobs in Denmark
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moss will be harvested with the purpose of sphagnum restoration at other sites or as growing media in horticultural production. The main focus of your position will be chamber measurements and data
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. The position also involves applying computational tools to guide enzyme selection and cascade design, as well as to interpret kinetic and screening data. The candidate will document methods and results in a
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of upstream and downstream processes. Integrate techno-economic and resource efficiency data into environmental modelling Analyse sustainability trade-offs, circularity potentials, and scenario-based system
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) outlining a research project addressing the history of Danish botany and the Flora Danica volumes in the period 1840–1900 within the statement of future research plans and information about research
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Aarhus University with related departments. Contact information Before applying or for further information, please contact: Associate Professor Aurelien Dantan, +4523987386, dantan@phys.au.dk . Deadline
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dynamics information. As a postdoc, you will contribute to the development of single molecule fluorescence real-time imaging methodologies using both experimental approaches, involving model nucleic acids
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read more about career paths at DTU here . Further information Further information may be obtained from Professor Mads H. Clausen, mhc@kemi.dtu.dk You can read more about DTU Chemistry at www.kemi.dtu.dk
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Work The place of work is Ny Munkegade 120, 8000 Aarhus C. Contact Information Further information about the position may be obtained from / For further information please contact: Dr Simon Wall +45
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mindset are most important. The role also includes data management and organization to support the team’s research efforts and advisory tasks. As a formal qualification, you must have a master’s degree in
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by the Danish EUDP project “RePower-HPC.” Future AI and high-performance computing (HPC) systems demand unprecedented power levels driven by massive data processing. A key challenge is enabling