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multimodality deep learning model development in different sarcomas. Publications in related fields will be a strong advantage. Opportunities for publication and independent development will be available
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(such as computational problem-solving with programming, data science, mathematical modelling, and statistics) to empower them to innovate; Delivering interdisciplinary courses with effective and innovative
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building, but also including digital twin, building information modelling, geographic information system, artificial intelligence, big data analytics, internet-of-things, sensors, blockchain, automation and
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partners. Programme enhancement Align internship initiatives with curriculum objectives, design assessment frameworks, and develop scalable models for long-term development. Requirements A Master’s degree or
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Systems; Data Analytics & Technologies; Data Privacy; Digital Forensics; FinTech; Generative AI; Large Language Models; Theoretical Computer Science; Quantum Computing. The appointees will be expected
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Post-doctoral Fellow/Senior Research Assistant in the Centre for Information Technology in Education
linear regression, mediation analysis, multilevel modeling, and/or latent variable models. Experience in managing and analyzing large datasets and in using generative AI tools for research purposes is a
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supervision. Candidates with 2-3 years of postdoctoral experience are preferred. Experience with AI-driven Earth observation data analysis, physically based modelling, ecological and carbon cycle research
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-driven Earth observation data analysis, physically based modelling, ecological and carbon cycle research, public health research, or environmental monitoring systems will be considered an advantage. Terms
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limited to: AI / IoT / AIoT Security; Computer Vision; Computing & Big Data Systems; Data Analytics & Technologies; Data Privacy; Digital Forensics; FinTech; Generative AI; Large Language Models
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. Experience integrating power systems with robotic manipulators/hands for smart laboratory operations. Proficiency in modelling/simulation tools (e.g., MATLAB/Simulink, PSCAD, PLECS, or similar). Experience in