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Field
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. The PhD candidates will focus on developing methods that utilize remote sensing and AI supporting precision forestry. Remotely sensed data, such as images, lidar, and photogrammetric point clouds acquired
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bioinformatics programming and high-performance computing environments, including Python, R, Linux-based workflows, and HPC/cloud platforms for reproducible pipeline development. Evidence of strong scholarly
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to open-source codebases and reproducible research practices. Job Requirements: A completed PhD in Computer Science, Electrical Engineering, Robotics, Artificial Intelligence, or a closely related
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synergy approach, fully leveraging on cloud computing environments, the integration of non-EO data sources and cutting-edge digital technologies, as well as pursuing open-source algorithms and tools
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research initiatives with clinical departments. Perform other job-related duties as assigned. Minimum Qualifications Bachelor’s degree in Computer Sciences, Statistics, Mathematics, or a related field. Two
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portable code for scientific workflows with Nextflow (or comparable) Practical experience running large‑scale computational workloads on HPC or cloud infrastructure (e.g. job schedulers, parallelization
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Medical School. In August 2024, we welcomed our first intake of the NTU MBBS programme, that has been recently enhanced to include themes like precision medicine and Artificial Intelligence (AI) in
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the field, with a strong track record of internationally competitive research in line with expectations for the respective career stage. PhD in Computer Science, Mathematics, or Engineering Research expertise
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control, basic course (study periods 1 & 2), FRTN65 Modeling and learning from data (study periods 1–2), FRTF01 Physiological models and computations (study period 2), and FRTN90 Cloud computing (study
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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