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                on the generation and transmission of sound, acoustic signal processing, advanced measurement techniques, transducers, room acoustics, vibration, and numerical methods. Responsibilities and qualifications The primary 
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                is offered with Pepa Atanasova as the main project supervisor, and will be co-supervised by Isabelle Augenstein. The successful candidate will engage in developing innovative methods for trustworthy 
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                the UP2MEM network Participating in secondments at industry partners and conducting a research stay at partner University. We consider the following qualifications advantageous: Master's degree in the fields 
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                researchers across the UP2MEM network Participating in secondments at industry partners and conducting a research stay at partner University. We consider the following qualifications advantageous: Master's 
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                theory-based estimates for the effects of government subsidies on household wealth and risks. Delivering evidence-based recommendations on the optimal subsidy regime. Main supervisor Professor Trine Krogh 
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                ://di.ku.dk/english/research/ . The principal supervisor is Prof. Isabelle Augenstein, Department of Computer Science, email: augenstein@di.ku.dk , and the co-supervisor is Pepa Atanasova, email: pepa@di.ku.dk 
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                living, noncommunicable diseases, multi- and co-morbidity and (rehabilitation) that shape our vision for sustainable and healthy and sustainable future. We educate bachelors and masters of science within 
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                to both experts and non-specialists. Proficiency in English is required. You must be compliant with MSCA mobility rule: not have resided or carried out your main activity (work/study) in Denmark for more 
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                Master's program in Environmental Engineering and is involved in both the Bachelor's and Master's programs in Energy Technology and Integrated Design and Sustainable Product Development. For more information 
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                practices. The PhD projects will combine lightweight agricultural robots, manipulators for managing crop competition, and digital twins for modeling the working environment. If selected, your main focus will