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. Competences of the ideal applicant: Hold a PhD degree in Chemical Engineering or in a relevant field. Experience with membrane technology in particular process design, scale-up, process modeling or optimization
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The Post.doc. position is part of a Nordforsk-funded research project entitled Education of Refugees and Asylum Seekers during and post the Pandemic in Nordic Countries. Through four work packages, the project examines 1) official strategies in the four countries, 2) children's, young people's...
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experts within biomedical engineering, neuropsychology, pharmacology, biophysics, medicine, and medicine with industrial specialisation. You will thus be joining an inspiring, enriching, and productive
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Aalborg University contributes to the knowledge building of the global society as well as the development of prosperity, welfare and culture of Danish society. This is accomplished through research
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Aalborg University contributes to the knowledge building of the global society as well as the development of prosperity, welfare, and culture of Danish society. This is accomplished through research
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technology and material science. All interested candidates are encouraged to apply, regardless of their personal background. We value diversity and see it as a strength. You may obtain further information
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in, Engineering, Data Science, Computer Science or a related field with a strong foundation in physical and data driven modeling, statistics and stochastic processes. Experience in control engineering
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, mathematics, engineering, or a field relating to data science with emphasis on statistical modelling. You are required to have: Experience with statistical modelling Strong programming skills in one of the main
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The construction industry faces numerous documented challenges related to improper waste disposal, including issues such as illegal dumping, litter pollution, and incorrect sorting. A significant portion of this waste could be repurposed within a circular market, yet the construction industry...
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Postdoc in statistics to develop Bayesian privacy metrics for synthetic health data (2024-224-05725)
. Qualification requirements: You should hold a PhD degree in computer science, statistics, physics, mathematics, engineering, or a field of science relating to data science with emphasis on statistical