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knowledge for the benefit of society and sustainable development. We undertake research, education, innovation, and scientific advice of the highest quality within building design and processes, building
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in working with large data sets and the development of numerical models. Basic knowledge of glaciology or geodesy. Good expertise in programming, e.g. in Python, MATLAB, or other high-level programming
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degree at the highest international level. You will become part of an active learning environment, in Denmark as well as abroad, and you will obtain an extensive academic knowledge e.g. by participating in
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, the knowledge about the effect of these actions on flora and fauna biodiversity is still limited. The research of the candidate will focus on the changes in ecological conditions for flora (seagrasses
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PhD fellowship/scholarship - Intercropping of cover crops and vegetables to mitigate nitrate leac...
, Environmental or Soil Science Write and speak English fluently Knowledge of handling and analysing experimental data Ability to work independently and as part of a multidisciplinary team Experience in field
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whether techniques from AI and data science can be used to organize feasible solutions and extract knowledge. In particular, the explainability of proposed solutions should be investigated. You will join a
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. The trained Doctoral Candidates will be able to convert knowledge and ideas into new products, and services for economic and social benefit. DTU is a leading technical university globally recognized
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group at CIE. The aim of the position is to build strong knowledge and competencies within the field of electrochemical storage device design, simulation and testing. Job description You will conduct
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project, co-funded by the Innovation Fund Denmark and the Department of Management, Aarhus BSS, Aarhus University. Candidate profile We are seeking applicants with strong knowledge of data analytics and
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. Knowledge of health care systems, healthcare access inequalities, and health disparities, preferably within a Danish context. Experience with advanced statistical data analysis. Having experience with health