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of areas, including AI and machine learning, cloud and mobile computing, computer system and information security, evolutionary computation, computer vision and graphics, and bioinformatics
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workflows. Qualifications PhD in Computational Biology, Genomics, Biomedical Engineering, Neurosciences, or related fields. Proven expertise in single-cell or spatial transcriptomic/proteomic data analysis
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). Optimize the databases linked to the data spaces, ensuring system scalability and reliability in a cloud environment. Where to apply Website https://sede.uvigo.gal/public/catalog-detail/28364578 Requirements
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, OpenCV), GPU computing (e.g., CUDA), SLAM and point cloud processing (e.g., PCL). Familiarity with ROS-based development and Linux software tools is considered a fundamental asset. (30
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relevant experience in the field, ideally with a PhD Background knowledge in cancer genomics Proficiency in Bash scripting and R and experience with cloud computing (required) Proficiency in Python and Git
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. For further information, you may refer to https://www.uni.lu/snt-en/research-groups/apsia . The candidate will pursue a doctorate in computer science with a focus on the migration to Post-Quantum Cryptography
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conditions, with emphasis on robust computational pipelines in high-performance and cloud environments. The candidate is expected to publish results in high-impact journals, contribute to student supervision
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research in a university environment. • Expertise in advanced geospatial topics such as web GIS (ArcGIS Online, Mapbox), cloud computing platforms (AWS, Google Cloud), or machine learning applications
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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description ISMO is located in a new building on the Saclay plateau. The PhD student will benefit
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development and high-performance computing. The division is currently in an expansive phase in new emerging areas such as cloud and fog computing, data science, and artificial intelligence, where it plays key