28 experiment-"https:"-"https:"-"https:"-"https:" PhD positions at Aalborg University
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programme, you will complete PhD courses within topics relevant to your project. The programme also includes a mandatory requirement to gain experience in teaching and/or other forms of research dissemination
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excited about the intersection of machine learning, AI security, and real-world deployment. The ideal candidate has experience or interest in one or several of the following: A solid foundation in
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experience in handling and analyzing large-scale genetic datasets are highly desirable. Familiarity with genetic association studies and the development or use of analytical pipelines for genomic data is an
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), and absolute sustainability concepts such as planetary boundaries, net-zero, and regenerative performance. Experience with quantitative environmental modelling, LCA, or related methods is an advantage
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, or a closely related discipline. You have experience with spectroscopy and chemometrics and at least some of the following areas: data acquisition, equipment construction, machine learning, and image
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Experience with firm level econometric analyses or with processing of large firm level datasets will be an advantage, but it is more important that you have experience with software tools such as Stata, SAS, R
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other things required to complete PhD courses corresponding to 30 ECTS, gain experience with teaching or other forms of knowledge dissemination and complete an external research stay outside of Aalborg
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other things required to complete PhD courses corresponding to 30 ECTS, gain experience with teaching or other forms of knowledge dissemination and complete an external research stay outside of Aalborg