29 software-defined-network-phd Postdoctoral positions at Aarhus University in Denmark
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with immediately engage in a wider collaboration within the Software Engineering group, and potentially across other research groups in the SECS Section. Your profile Applicants should hold a PhD degree
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synthesis, acetate production) using software such as Aspen Plus. Integrate these units into full process chains and simulate performance under varying operating conditions and CO₂ feedstock scenarios (e.g
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following qualifications: Teaching and supervision experience at the BSc and MSc level, and defined interest in the development and co-supervision of PhD students Interest and experience in developing
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of understanding their regulation by phosphorylation. You will be in charge of writing and testing code, developing, deploying and maintaining software. Your work will benefit from the experimental data generated by
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high-impact scientific journals. Your profile The position is offered to a highly motivated candidate with a PhD degree in Soil Science, Environmental Science, Biogeochemistry, Wetland Science, Remote
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computational models to map co-expression networks and predict systemic disease transitions. Characterise intestinal microbiome changes and their correlation with inflammatory diseases. Computational modelling
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travel. The postdocs will specifically undertake research on locally produced portraits from the region of West Asia from 100 BCE – 500 CE. The more narrowly defined region will be subject to definition
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tasks will consist of: Independent research of high international quality, including publication. Guidance and supervision of Bachelor’s and Master's degree students, as well as supervision of PhD
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participate in knowledge exchange with public authorities and industry and will be involved in teaching and supervising students at the BSc, MSc, and PhD levels. Qualifications for a postdoc position: Academic
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; Collaborating closely with the ENGREENIT’s PhD candidate (starting 12 months later than the PostDoc researcher), supervised by the Assoc. Prof. Emil Dražević, and will jointly develop the heterogeneous