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programming, statistics, computational analysis and if possible environmental awareness. • Prior experience working with LiDAR or point cloud data will be a definite bonus. • Excellent project management
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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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*) in Bioinformatics, Data-Science or a closely related area such as computer Science, or mathematics * If PhD pending, it must be conferred less than 3 months after closing date. Significant, relevant
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within/outside of research group, using appropriate presentations format Key Competencies and Requirements: PhD degree in bioinformatics or statistical genetics, computational biology, or related field
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: Experience with generative AI deep learning and active involvement in data science and machine learning projects. Experience in neural network architecture, cloud computing, and database development and
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to grant proposals, and present findings at international conferences. What you bring: PhD (or near completion) in Bioinformatics, Computational Biology, Data Science, Statistical Genomics, or related field
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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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We are seeking a Research Fellow to perform research on deployment of machine-learned models for health analytics on distributed IoT/edge/cloud systems using transprecise computing and contribute
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Computer Science or other related areas. Candidates will need to have completed their PhD or have it completed by the start of employment. Applicants should upload a cover letter and curriculum vitae and include