40 postdoctoral-laminate-composite-simulation Postdoctoral positions at Technical University of Denmark in Denmark
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plant process water into ultrapure water for green fuel synthesis. Responsibilities and qualifications We are seeking a highly motivated postdoctoral researcher to spearhead our interdisciplinary efforts
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Job Description If you are passionate about data analytics, numerical modelling and marine research, we have an opportunity for you! DTU Aqua invites applications for a two-year postdoctoral
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funded 16-month postdoctoral position offers you the chance to contribute to cutting-edge research, collaborate with leading experts, and develop innovative deception-based security strategies. As part of
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co-simulation platforms (e.g., TRNSYS-Python) Implement and test AI-enabled smart energy management strategies in real-world settings Conducting in situ measurements, including planning, setting up
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tolerant microstructures. The work will be based on experimental characterization guided by advanced AM simulations. The latter being the responsibility of other participants of the MicroAM project
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Research Assistants, Postdocs, and academic staff to develop cutting-edge methodologies. The research is cross-disciplinary, combining advanced quantitative analysis, simulation, and systems integration
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Research Assistants, Postdocs, and academic staff to develop cutting-edge methodologies. The research is cross-disciplinary, combining advanced quantitative analysis, simulation, and systems integration
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Foundation Classes (IFC), and linked data Sensors as part of Internet of Things (IoT) and integration of sensory information in simulation models during run-time Data processing, incl. artificial intelligence
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, the proximity effect, and the fringing effect is familiar with the simulation tools such as Ansys (Maxwell), or COMSOL is target-oriented, structured thinking, eager to learn new things, and ready to think
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simulate wind and solar forecast uncertainties on pan-European level, leveraging latest machine learning weather forecast models Apply machine learning methods to forecast day-ahead and balancing market