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Field
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theories, with the development of the mathematical constructions that are needed to provide such descriptions, and uncovering new geometric and topological structures arising from physical phenomena in high
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of Mathematical Sciences, Faculty of Engineering and Science, Aalborg University. The project is a part of the ambitious Novo Nordisk Foundation Data Science Collaborative Programme, “Synthetic health data: ethical
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At the Department of Mathematical Sciences, faculty of Engineering & Science, at Aalborg University, we are looking for a postdoctoral researcher to join our group working on numerical methods
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expertise in one or more of the following specific areas: Plasmid library cloning and screening (pooled and/or arrayed) Virology (especially DNA viruses) Mammalian gene regulation Chromatin structure and
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states on fast timescales and are enabling materials for emerging photonic computing technologies. The postdoctoral researcher will perform operando and time resolved structural characterization
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. The successful applicant will work within a multidisciplinary team of electrochemists, material scientists, composite engineers, fellow anthropologists and sustainability experts on structural power composites
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fit to this project; An academic transcript of BSc, MSc and PhD education, including grades; Full Curriculum Vitae, contact information for at least two academic references, and if applicable, a list of
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cooperation between scientists in the fields of physics, chemistry, and engineering solid, modern equipment for manufacturing nanoscale magnetic structures the opportunity to pursue a postdoctoral qualification
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. Position Requirements Recent or soon-to-be-completed PhD (typically completed within the last 0-5 years) in mechanical engineering, materials science, civil engineering, structural engineering, or a closely
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close to completion of a relevant PhD, in biotechnology, biochemical engineering, microbiology, industrial biotechnology, or a related discipline. Essential hands-on skills include experience in microbial