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”. This project research techniques for intelligently automating processes for large-scale simulation of robots and mobile machinery that operate in and physically manipulate dynamic environments. Research
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novel machine learning method development. However, you will be part of a larger cross-disciplinary research initiative involving both computer and material scientists, providing excellent opportunities
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and visualization of metabolomics data, support the integration of software tools for data (pre-)processing, biomarker discovery, and predictive modelling. Furthermore, serve as the metabolomics subject
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We are looking for a PhD candidate fascinated in modelling erosion processes in sensitive clay slopes. The highly sensitive clays, called quick clays, can change from solid to liquid with small
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Description: Broadleafification, i.e. the process of increasing the share of broadleaf tree species within conifer-dominated forests, is a promising strategy for biodiversity conservation in managed (hemi
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to ensure optimal tissue concentrations during surgery. The PhD student will utilise national and international arthroplasty registry data, adapt in vitro diagnostic tools such as the Minimum Biofilm
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. These duties can be scheduled flexibly over the year. Supportive, inclusive, and equality-focused work culture. Opportunities for national and international collaboration. Application process Your application
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among qualified applicants based on their qualifications and their ability to benefit from studies at the doctoral level. After the selection of the suitable candidate, the process for the admission
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selection will be made among qualified applicants based on their qualifications and their ability to benefit from studies at the doctoral level. After the selection of the suitable candidate, the process for
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derivatives to bio-chemicals on the anode side and simultaneously to generate green hydrogen in the cathode side. Subject description Energy engineering concerns the development of technologies and processes in