812 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL" positions in Singapore
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research team as a Research Engineer. The successful candidate will support ongoing research initiatives by applying advanced machine learning, NLP, and large language models (LLMs) to develop next
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safe working environment. Qualifications Polytechnic Diploma in an engineering field or other equivalent engineering qualification Experience in engineering work, lab operation Basic computer skills such
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statistical and machine learning modeling to conduct data analyses for large-scale multimodal (genomics, omics etc) studies. Conceptualise new ideas, lead data-driven discoveries, ensuring in-depth assessment
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, building automation and control (BAC) system, Artificial Intelligence (AI) & Machine-Learning (ML) applications. Good written and oral communication skills Proficiency in power system modelling, advanced
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a Research Fellow to contribute to a project focused on focused on data-driven discovery of atomic catalysts. Key Responsibilities: Theoretical predictions using DFT and machine learning, and
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engineering or related field At least 1 year of relevant experience in signal processing and machine learning. Good written and oral communication skills Proficiency in ANSYS, and lab test skill Ability to work
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machine-learning models. Ensure scalability, security, version control, and documentation of all systems. Build and maintain RESTful APIs or equivalent for interfacing with other components. Implement and
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digital humanities, ludic studies, or social gaming platforms. A passion for education and the ability to foster a supportive, inclusive, and diverse learning environment, with strong interpersonal and
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Computer Science, Artificial Intelligence, Data Science, Automation, Electronic Engineering, Economics, Human Resources Management, or a related field. Experience with general methods in machine learning, such as
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the area of efficient and interpretable machine learning systems. The successful candidate will work on projects involving ensemble learning, large-scale data analytics, and high-performance model design