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admission requirements The department will give priority to applicants with high grades from their universities. To be considered the applicant must have a basic education at master's level (corresponding
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machine learning algorithms/data science methods for clinical proteomics data. Further, during the enrollment process, you will define together with your supervisors (main and co-supervisor) additional
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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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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
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supervisors and industry partners, you will bridge theory and practice to create research with real-world impact. Your primary tasks will be to: Conduct research on data-driven and modular approaches
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various phase demodulation techniques. The activities within the project will benefit from synergies with other projects in the group as well as with other activities at the department. The main supervisor
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semiconductor photonic devices. The activities within the project will benefit from synergies with other projects in the group as well as with other activities at the department. The main supervisor will be Assoc
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. The activities within the project will benefit from synergies with other projects in the group as well as with other activities at the department. The main supervisor will be Assoc. Professor Haiyan Ou, DTU
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Wide Bandgap Semiconductor group headed by Assoc. Prof. Haiyan Ou. The main supervisor will be Senior researcher Mingjun Chi, the co-supervisor will be Assoc. Prof. Haiyan Ou, DTU Electro
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to work in our newly formed Centre for Nature-based Solutions (C-NBS) at Aarhus University, based in the Institute of Ecoscience. It is a 4-year research position (assistant professor) and the primary