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strong foundation in machine learning and deep learning (Python, TensorFlow or Pytorch). Experience with image processing / computer vision. Experience with cloud computing, cloud development ecosystem
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cancer genomics and functional interpretation of genetic variants Proficiency in Python, R, or other bioinformatics languages Knowledge of cloud computing, and high-performance computing (HPC) environments
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deployment in cloud using the latest approaches to the containisation and orchestration Essential Criteria Grade 7 Qualifications Honours Degree and PhD in an appropriate discipline such as Earth observation
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The 6G National Research Programme is at the forefront of pioneering research and development in the field of 6G technologies. As part of the Communications Hub for Empowering Distributed Cloud
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proficiency. Preferred Qualifications: Prior knowledge and experience in at least three of the following: working with high-performance and cloud computing, programming in Python, data analysis and
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applications would be particularly beneficial, although not essential. In addition, experience in artificial intelligence, cloud computing, sensor networks and/or data visualisation would also be highly
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grounded in cutting-edge Earth System modelling. We are recruiting a Postdoctoral Research Associate or Fellow (up to three years) to investigate the potential impacts of Marine Cloud Brightening (MCB) using
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. The employment period will be three years full time, and there is a premise for employment that the PhD Research Fellow is enrolled in USN’s PhD-program in PhD in Technology within three months of accession in
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UiO/Anders Lien 15th May 2025 Languages English English English PhD Research Fellow in Aerosol-Cloud-Radiation Interactions Apply for this job See advertisement About the position / About the job A
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and/or MD in computational biology, bioinformatics, genomics, or other related fields. Proficiency with high-throughput sequencing data analysis and cluster/cloud computing. Expertise in variant calling