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Proficiency in programming languages such as C, C++ and Python We regret to inform that only shortlisted candidates will be notified. Hiring Institution: NTU
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Forensics, Image Forgery Detection & Localization, Deepfake Detection, and related areas. Proficiency in software such as PyTorch, OpenCV, and programming languages such as Python, C/C++, as well as Linux (eg
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models, and foundation models Strong programming skills in Python and deep learning frameworks such as PyTorch Experience with large-scale experiments, model optimization, and performance analysis
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highly skilled Postdoctoral Fellow with a proven dual‑mode research profile capable of independently performing laboratory experiments and coding predictive AI models in Python to forecast biomaterial
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the ability to prepare technical reports and academic publications. Proficiency in job-specific technical skills, including programming for research and data analysis purposes (e.g. Python or similar languages
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students and working effectively in a team-based research environment Proficiency in common computational chemistry software and coding techniques e.g. Gaussian/Amber/Schrödinger/python/bash For more
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health, behavioural, or social science datasets. Proficiency in Python and/or R, and familiarity with open access AI/ML libraries. Track record (or strong potential) of peer-reviewed publications
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libraries (e.g. Python, TensorFlow/PyTorch, Scikit-learn) Demonstrated experience in applying machine learning or data-driven methods to physical systems, preferably in the context of fusion research Proven
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. Proficiency in algorithm development using Python will be advantageous Where to apply Website https://www.timeshighereducation.com/unijobs/listing/407953/research-fellow-ai-… Requirements Additional Information
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publishing high-quality research papers in top-tier conferences and journals. Proficiency in advanced programming and computational modeling tools (e.g., Python, distributed systems). Good written and oral