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PhD Scholarship in Development of Cement-Free Living Building Materials for Sustainable Construction
(MICP) technology (preferred) Knowledge of how microbes interact and affect and are affected by their physical-chemical environment (preferred) Experience in biomaterials, polymer science, and hydrogel
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degree in computer science, mathematics, statistics, physics or relevant fields. Strong background in machine learning, preferably experience in probabilistic modeling, Bayesian machine learning, or graph
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. The further process After the expiry of the deadline for applications, the authorized recruitment manager selects applicants for assessment on the advice of the hiring committee. All applicants are then
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questions about the position, you are more than welcome to contact us. You will find contact persons at the bottom of the jobpost. Further information Read more about our recruitment process here
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of the jobpost. Further information Read more about our recruitment process here. The assessment of candidates for the position will be carried out by qualified experts. Shortlisting will be applied. This means
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. Our mission encompasses the creation of insights that allow the development of context-aware, distributed, and embedded cyber-physical systems, with a particular focus on Internet-of-Things (IoT) and
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screening and other interventions have been implemented. The project views recruitment as a multi-stage process, where screening, interviews and final decisions interact, and where bias-reducing mechanisms
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Selected candidates will be invited for an interview. Interviews are expected to be held during 07/2026. Further information Read more about our recruitment process here The appointment process at Aalborg
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collection and analysis is considered an advantage. Experience with case study research, interviews, observations, document analysis, or process-oriented research designs will be particularly relevant. We
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, bonding technologies, and multi-layer stack-up integration for glass-based PCB structures. Multi-physics simulation and experimental characterization will be used to analyze thermo-mechanical behaviour