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an emphasis on technology, data science and the humanities. We are seeking a highly motivated individual with a strong interest in cancer genetics and genomic medicine to join our research team under Associate
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++, or Go, and frameworks like PyTorch or TensorFlow, is highly advantageous. Experience in developing and deploying machine learning models, particularly in natural language processing (NLP) and large
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experience in computer sciences Demonstrated experience in handling large size database Knowledgeable in theoretical physics, and at minima basic knowledge in theoretical plasma physics Demonstrated track
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Statistical Package for the Social Sciences (SPSS) and/or NVivo qualitative data analysis software. Experience in classroom observations and video data coding. Experience of collating and organising large
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robotics that works in the small scale and delivers large motion and deformation as the final goal. Key Responsibilities: The Research Assistant will work on a cross-disciplinary project at the intersection
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possibilities of extension) at the Science of Learning in Education Centre (SoLEC) . Project Title: Cerebrovascular Health, Adult Learning, Resilience and Mechanisms: CHARM Study Project Information: As part of
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, computer science, or a closely related field Applicants holding a master’s or doctoral degree are preferred Demonstrated expertise in generative AI tools, including text-to-speech (TTS), large language models (LLMs
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, computer science, or a closely related field Applicants holding a master’s or doctoral degree are preferred Demonstrated expertise in generative AI tools, including text-to-speech (TTS), large language models (LLMs
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focus on translational Research, Development & Deployment which focus on specific area of the energy value chain, and a number of Living labs and Testbeds which facilitate large scale technology
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an emphasis on technology, data science and the humanities. LKCMedicine is searching for a Research Associate/Fellow in the field of Learning Analytics (LA) / Machine Learning (ML) under Professor Andy Khong