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-based simulation model for assessing future mobility technologies in the Greater Copenhagen region. Explore the development of machine-learning based scenario discovery for future mobility policy design
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A postdoc position in the Torben Heick Jensen lab, Aarhus University, Denmark: Mammalian Nuclear ...
, it is not possible to ensure that letters of reference received after the application deadline will be taken into consideration. If you wish to add a referee after you have submitted your application
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-based sensor data to enhance the prediction of peatland soil properties and functions. You will focus on leveraging machine learning/deep learning techniques along with explainable artificial intelligence
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-based sensor data to enhance the prediction of peatland soil properties and functions. You will focus on leveraging machine learning/deep learning techniques along with explainable artificial intelligence
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digital co-simulation platforms (e.g., Modelica-Python/Simulink) Applying machine learning and data-driven approaches to enhance the operation of district heating substations Participating in course
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Postdoc in assessing carbon sequestration potential of different wetlands as nature-based solutio...
are critical to solving key issues A good social environment with activities and routines that make it possible to talk across and enhance the collegial relationship, and where mutual trust, respect, kindness
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learning and study environment, which is closely integrated in the research environment. Our department has unique and advanced animal experimental research facilities and technologies, situated in close
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Leicester Institute of Structural and Chemical Biology, United Kingdom. Your work may include clinical and biomedical projects. It may also include technique development work aimed at combining imaging
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collaboration are prerequisites for solving the core tasks A good social environment with activities and routines that make it possible to talk across and enhance the inclusive relationship, and where mutual
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. theses at the interface between structural engineering and machine learning. You will disseminate your research through peer-review publications and participation in international conferences. You will