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Federated Cloud Computing ( HCC ) We invite applications for a fully-funded 3-year PhD position on the topic of usable decentralization, i.e. on making distributed and federated cloud services accessible
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computational challenges. This PhD project will investigate novel registration strategies for ultrasound-derived musculoskeletal point clouds. The work will focus on developing geometry-aware alignment methods
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record in peer-reviewed international journals Experience with remote sensing, LiDAR, and GIS applications Programming skills in Python Background in LiDAR point-cloud analysis and vegetation structure
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the main task of the two positions is administrating and maintaining our storage system and our private cloud solution, we are also setting up environments for students to experiment with open-source
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understanding of single-cell biology, recent technologies and data science. Experience with cloud computing platforms will be an advantage Experience with wet-lab protocols RNA-seq and scRNAseq is preferred but
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abundance of computation power residing in the network. The focus in our group is research, development and implementation of networking and edge/cloud computing solutions, primarily in the context of 5G and
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areas: cyber security privacy engineering cryptography and applied cryptography computer engineering edge or cloud computing and networking. You will be part of one of the department’s research groups in
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at the Department of Electrical and Computer Engineering, Aarhus University, where we are advancing communication-efficient and distributed foundation model inference across the computing continuum
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at the Department of Electrical and Computer Engineering, Aarhus University, where we are advancing communication-efficient and distributed foundation model inference across the computing continuum