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stating your specific interest, motivation, and qualifications for the project in question (max. two pages) A curriculum vitae including information on previous employment A full list of publications Copy
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: +45 24466297, Head of Research Associate Professor Rikke Wesselhöft, email: rwesselhoeft@health.sdu.dk or Head of Department at the Department of Clinical Research Rikke Leth-Larsen, e-mail: rllarsen
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research and development projects). The candidate will implement a simulation framework to explore different configurations of management practices to reduce the impact of agricultural systems
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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 Psychiatric Epidemiology: Linking Register and Trial Data to Study Postpartum Depressi...
Research Associate Professor Rikke Wesselhöft, email: rwesselhoeft@health.sdu.dk or Head of Department at the Department of Clinical Research Rikke Leth-Larsen, e-mail: rllarsen@health.sdu.dk . Application
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capability to model complicated magnetic systems for two reasons. First, all magnetic sources in a simulation interact, leading to computational resources scaling with the number of sources squared – which is
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. However, powerful as it is, MagTense is at present limited in its capability to model complicated magnetic systems for two reasons. First, all magnetic sources in a simulation interact, leading to
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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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research assistants, postdoctoral researchers, and academic staff to develop cutting-edge methodologies. The research is cross-disciplinary, combining advanced quantitative analysis, simulation, and systems
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research assistants, postdoctoral researchers, and academic staff to develop cutting-edge methodologies. The research is cross-disciplinary, combining advanced quantitative analysis, simulation, and systems