76 parallel-processing-bioinformatics-"HZI" Fellowship positions at SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
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11 Mar 2026 Job Information Organisation/Company SINGAPORE INSTITUTE OF TECHNOLOGY (SIT) Research Field Biological sciences Researcher Profile First Stage Researcher (R1) Application Deadline 9 Apr 2026 - 00:00 (UTC) Country Singapore Type of Contract Other Job Status Full-time Is the job funded...
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misinformation and disinformation protection, awareness and mitigation pipeline. We will be recruiting a research engineers or fellows, as part of a wider project, to conduct research on: Signal processing
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learning-based computer vision algorithms and software for object detection, classification, and segmentation. Key Responsibilities Participate in and manage the research project together with the PI, Co-PI
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will work closely with the Principal Investigator (PI), Co-PI, and the research team to develop deep learning-based computer vision algorithms and software for object detection, classification, and
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recruiting a research engineers or fellows, as part of a wider project, to conduct research on: Signal processing combined with AI-based modification on speech signals. The need is for a real-time system, so
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As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT. We are looking for a...
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preparation. Conduct basic bioinformatics processing of sequencing data, including sequence quality control and taxonomic profiling where required. Support aptamer discovery and validation experiments
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will play a key role in building a parallelized, agent-driven exploration system and integrating a multimodal detection pipeline, ensuring real-time performance, scalability, and deployment readiness in
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libraries, including nucleic acid extraction, amplification, and library preparation. Conduct basic bioinformatics processing of sequencing data, including sequence quality control and taxonomic profiling
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will work closely with the Principal Investigator (PI), Co-PI, and the research team to develop deep learning-based computer vision algorithms and software for object detection, classification, and