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diagnostics, and carbon nanomaterial synthesis. This is a highly collaborative role involving close interaction with industrial sponsors, academic collaborators, technical staff, and PhD students
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research teams: 1) The AI Group: Experts in systems, control, optimization, Large Language Model (LLM) training, domain adaptation, and instruction tuning, agentic AI orchestration, and reinforcement
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to study important processes like reversible photopolymerization and click-polymerization. Finally, we will use the information-rich data provided by I-TR-NUS&TR-L to make the automatic optimization setup
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. Required Qualifications – Experience, Education, Knowledge & Skills PhD or equivalent doctoral degree completed by the start date in microbiology, bacteriology, molecular biology, genetics or genomics
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Duties Develop, apply, and analyze T-cell receptor sequencing approaches for diverse clinical cohorts. Perform and optimize molecular assays, including RT-qPCR, ddPCR, and next-generation sequencing
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research, creative activity and people positively impact the world. Like the city we call home, UB is distinguished by a culture of resilient optimism, resourceful thinking and pragmatic dreaming
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optimization algorithms for complex trial design spaces. Required qualifications: A PhD or equivalent doctoral degree in biostatistics, statistics, applied mathematics, operations research, computer science
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optimization of large language models (LLMs) and related architectures for generative tasks, continuous learning, indexing or retrieval, support of retrieval augmented generation over many data points from long
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. The ideal candidate holds a PhD in transport, operations research, civil engineering, or a related field, with strong skills in mathematical optimization and modelling (ideally in Python) and an interest in
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: Research and Lab Operations Design and Fabrication: Lead the development and optimization of cardiac patches and injectable biotherapeutics using advanced biomaterials and nanovesicle technologies. Animal