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Field
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qualifications: Experience in running large-scale analyses on Linux-based HPC clusters using job schedulers (e.g., Slurm) and/or on cloud research platforms (e.g., DNAnexus/AWS). Experience in analysing high
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characterize forest structure. Remote sensing data, such as images, lidar, and photogrammetric point clouds acquired from drones, aircraft, and satellites, will play a central role in the development
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for simulation, and data/cloud platforms. Contact For further information please contact: Professor Ulrik Pagh Schultz Lundquist ups@mmmi.sdu.dk Associate Professor Aljaz Kramberger alk@mmmi.sdu.dk Associate
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, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and ICT Services & Applications. Your role As the successful candidate, you will primarily contribute to a partnership project with
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highly qualified talent. We look for researchers from diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud
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, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and ICT Services & Applications. The SPARC group in SnT is pursuing research on signal processing applications in radar and
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, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and ICT Services & Applications. Your role Successful candidate will join the young, vibrant, and interdisciplinary FINATRAX Research
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extended from cloud solutions (such as OpenLLMetry), the research question is how to identify anomalies in collected information that can come from multiple AI services either invoked manually by users or by
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meetings, seminars, and institutional events and supporting the configuration/deployment of high performance computing solutions relying on computational resources both on premises and in cloud. Specific
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backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and ICT Services