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Field
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equipment, instrumentation, control systems, gas handling, and safety procedures are highly desirable. The candidate should have experience in supporting experimental research activities, including execution
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optimization, techno-economic assessment and model validation. The research will also examine the coordinated operation and control of Power-to-X processes, electrolysers and energy-storage systems in
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support recipe optimisation for well-controlled materials and processes, you will investigate whether similar methods can be applied to mechanical recycling from heterogeneous waste streams. The ambition is
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and corrective feedback. You will apply advanced algorithms for machine learning, multimodal biosignal processing, and human-state inference, working with shared-control strategies and electrotactile
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testing, experimental design and process control. A documented ability to publish research results in leading international peer-reviewed journals is also highly desirable. You communicate clearly in
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years. Your work tasks This PhD project focuses on the design and control of energy-efficient hydraulic systems with integrated safety functionalities. The overall objective is to develop innovative
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the regional hospitals in the Central Denmark Region. We have approx. 30,000 square metres of modern research facilities for experimental surgery and medicine, animal facilities and also advanced
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on ocean and coastal dynamics, marine processes, and their response to environmental change through a combination of field observations, data analysis, and numerical modelling. The position is embedded
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are expected to have experience with data analysis in a clinical context, as well as programming skills in R or Python and familiarity with command-line tools. Experience with data management and the
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, mechanical engineering, computer engineering, computer science or similar. Required skills: Experience with UAV control Concrete experience in mechatronics design Practical and hands-on skills Preferred skills