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designing, optimizing, and demonstrating an integrated MD–PEM system. The position will focus on tailoring operational parameters for both processes to achieve stable, high-efficiency hydrogen production from
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proficiency in oral and written English, as English is our working language. National and international collaborations must be demonstrated. The following criteria will apply To achieve merit at professor level
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contribute to other educational activities Attract research funding with support from the department Disseminate your work at conferences and peer-reviewed journals Network with international research bodies
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in planning and executing computational and experimental research incl. studies on user experience, usability, and net promoter scoring Effective communication and teamwork abilities, with a commitment
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with industrial specialization). It is necessary to have a high proficiency in oral and written English, as English is our working language. National and international collaborations must be demonstrated
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Assistant Professor in Electrical Energy Technology, Department of Electrical and Computer Engine...
of communication and networks, control and automation, photonics, signal processing, software and IT systems, robot technology, medical technology, health technology, electrical energy technology, and acoustics and
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of communication and networks, control and automation, photonics, signal processing, software and IT systems, robot technology, medical technology, health technology, electrical energy technology, and acoustics and
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health science, community medicine, health services research, humanities and social science health research. The research group is responsible for the Master's degree in Public Health primarily aimed
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at (i) optimizing grain legume cropping among other via inoculants and nutrient supply, (ii) improving the mechanistic understanding of grain legume physiology and resistance to stresses, (iii
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will work with data collected from the field to the spatial scale, and investigate spatial optimization approaches to improve the model parameterization at the spatial scale. We expect that you will be