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the PhD Student will be positioned to the section for “Applied Power Electronic Systems”. Your work tasks Asynchronous grids (a-grids) decouple synchronous power systems into multiple compartments with
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motivated candidate with a strong background in statistics and/or machine learning. Areas of particular interest include, but are not limited to: Causal Discovery and Causal Inference Extreme Value Theory
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complex acoustic environments, moving beyond traditional audibility-based solutions toward systems that enhance intelligibility, meaning extraction, and user-specific listening intent. Your work tasks The
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understanding in complex acoustic environments, moving beyond traditional audibility-based solutions toward systems that enhance intelligibility, meaning extraction, and user-specific listening intent. Your work
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role in transferring inventions and results into applications in close collaboration with industrial partners worldwide. You can read more about the department at www.es.aau.dk. Your work tasks Current
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challenge in human-robot interaction research: Supporting human-robot collaboration within clinical workflows, healthcare infrastructures, and professional work practices through interaction designs and
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research events. You will develop both theoretical and applied work as you will be in close contact to real applications. You will participate in international secondments to other organisations in
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research events. You will develop both theoretical and applied work as you will be in close contact to real applications. You will participate in international secondments to other organisations in
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unique opportunity to address a critical challenge in human-robot interaction research: Supporting human-robot collaboration within clinical workflows, healthcare infrastructures, and professional work
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the ability to also work independently. Experience with machine learning, density functional theory calculations and/or molecular dynamics simulations is considered advantageous. Experience with solid