71 knowledge-representation Fellowship positions at SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
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reasoning Vision-Language Models (VLMs) Multimodal representation learning Self-supervised and weakly supervised learning Fine-tune and adapt Foundation Models and Vision-Language Models for domain-specific
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algorithms for: Fine-grained video understanding Concept learning Temporal reasoning Vision-Language Models (VLMs) Multimodal representation learning Self-supervised and weakly supervised learning Fine-tune
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knowledge transfer, capability development, and technology adoption across healthcare and innovation ecosystems. Secure and identify funding sources through grants, proposals, and industry partnerships, and
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Certification or authorisation to design and operate high-power or high-voltage electrical systems Minimum 2 years of relevant experience Key Competencies Good knowledge in electrical equipment and power system
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coding . Have a degree in Computer Science/Computer Engineering. Possessing a Master’s or PhD degree will definitely be advantageous. Knowledge of machine learning, pytorch, huggingface etc... Knowledge
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degree in Computer Science/Computer Engineering. Possessing a Master’s or PhD degree will definitely be advantageous. Knowledge of machine learning, pytorch, huggingface etc... Knowledge of image
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/Microwave or Digital Signal Processing (DSP) is preferred. Has solid knowledge of electronics, including circuit design, PCB layout, and hardware troubleshooting. Has relevant competence in the areas of Radio
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Requirements: Have relevant knowledge in the areas of quantum key distribution (QKD) protocols, e.g., BB84, E91, MDI, TF, etc. If there is no prior experience, it is acceptable if the candidate can self-learn
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intelligence algorithms using Python. Knowledge of machine learning or reinforcement learning techniques is highly advantageous. Experience with theoretical wireless network modelling, particularly stochastic
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delivery for company employees and healthcare professionals, contributing to the team's capability-building and knowledge-transfer goals. Role-specific skill focus — MedTech / HealthTech Engineering