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BUG-ID is a Marie Sklodowska-Curie Doctoral Network project, funded by the European Commission, Horizon Europe Program. Commencing its activities in January 2026, the Network will provide PhD
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freedom tempered by responsibility. Salary and appointment terms Salary, pension and terms of employment are in accordance with the requirements from the European Commission related to the MSCA programme
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responsibility. Salary and appointment terms Salary, pension and terms of employment are in accordance with the requirements from the European Commission related to the MSCA programme and the agreement between
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terms Salary, pension and terms of employment are in accordance with the requirements from the European Commission related to the MSCA programme and the agreement between the Ministry of Finance and The
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the requirements from the European Commission related to the MSCA programme and the agreement between the Ministry of Finance and The Danish Confederation of Professional Associations on Academics in the State
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appointment terms Salary, pension and terms of employment are in accordance with the requirements from the European Commission related to the MSCA programme and the agreement between the Ministry of Finance and
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terms of employment are in accordance with the requirements from the European Commission related to the MSCA programme and the agreement between the Ministry of Finance and The Danish Confederation
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Declaration of interest regarding PhD project within the field of biomarker and therapeutic targe...
. The PhD student will work with patient cohort to perform biomarker analyses and statistical modeling of clinical outcomes. In parallel, the student will contribute to the development and validation of novel
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innovative soft materials and structures to endow robots with embodied intelligence and rich interactive functionalities. In parallel, we adopt biologically inspired control and learning strategies that enable
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, translational, and experimental approaches. The PhD student will work with patient cohort to perform biomarker analyses and statistical modeling of clinical outcomes. In parallel, the student will contribute