34 parallel-and-distributed-computing-phd Postdoctoral positions at Aarhus University
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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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with a PhD degree in Computer Science, Geoinformatics, Geography, Geology, Environmental Science or related fields. We look for the following specific qualifications: Thorough understanding
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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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foundation in multiple cryo-EM structures. Here the postdoc will work closely together with a PhD student dedicated to this project. The single molecule data will be obtained by the postdoc at a local state of
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Join us at the Department of Electrical and Computer Engineering at Aarhus University to help shape the future of sustainable water management. We’re looking for a motivated postdoc for a 1-year
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Join us at the Department of Electrical and Computer Engineering at Aarhus University to help shape the future of sustainable water management. In close collaboration with the Hydrogeophysic Group
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The AarhusNLP Group at the Center for Humanities Computing, Aarhus University, invites applications for multiple three-year Postdoctoral Researcher positions. Starting date: June 1 2025 (or as soon
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is a natural part of the position. Qualifications PhD degree in Plant, Horticultural or Agricultural Science, postdoc experience is preferred A proven publication record in international peer-reviewed
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are searching for a highly motivated candidate who has: A PhD in a relevant field such as environmental management, geography, sociology, organization studies, political science, or related disciplines. The ideal
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you will report research results in high-impact scientific journals. Your profile We are searching for a highly motivated candidate who has A PhD in ecology, environmental science, remote sensing, data