35 phd-position-in-data-modeling-"Prof"-"Prof" Postdoctoral positions at Aarhus University in Denmark
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Aarhus University, Department of Mathematics Position ID: MATHAU-POSTDOC [#26894] Position Title: Position Type: Postdoctoral Position Location: Aarhus, 8000, Denmark [map ] Subject Areas
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Science, Aarhus University, Agro Food Park 48, 8200 Aarhus N (Denmark). Contact information For further information about the project or the position, please contact the principal investigator and project
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regions of the world, and at the same time impact the climate positively utilizing CO2 as raw material. To be launched into scaled solutions, the technology needs to be optimized through leveraging digital
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Applications are invited for a 2-year position in the field of CFD and modeling of heat pumps at the Department of Mechanical and Production Engineering, Aarhus University, Denmark. Expected start
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activities on its website . Contact For further information about the position, please contact the principal investigator (PI), Pernille Hermann, Head of the Department of Scandinavian Studies and Experience
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project. Your profile We are looking for a highly motivated candidate with a background in machine/deep learning, and communication networks. The required qualifications include: PhD in computer engineering
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The position The ERC-funded project ‘Changing Childhoods in the Era of the WWW (WEB CHILD)’ ( https://cas.au.dk/en/erc-webchild ) offers a postdoctoral position to attract applicants with a well
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contributes to developing the academic field in question. Your qualifications To qualify for the positions, you must have been awarded the degree of PhD or have acquired equivalent qualifications. Who we
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. Additional information Further information about the position may be obtained from the project leaders. Professor Corneliu Barbu (phone no.: +45 9352 1325/email: coba@ece.au.dk ) Associate Prof. Mohammad
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using mouse models for neurodevelopmental disorders and brain inflammation. Run spatial omics approach including multiplexed protein imaging and transcriptomics. Collect and analyze data from genome-wide