125 parallel-processing-bioinformatics Fellowship research jobs at Nanyang Technological University in Singapore
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part of a larger network, undergo persistent changes that ultimately lead to experience-dependent rewiring of the brain. In parallel to understanding how memories are formed, we are also keen to
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gnotobiotic studies and microbiome analysis/bioinformatics. Key Competencies/Requirements: Hold a doctoral (PhD) degree in neuroscience or relevant disciplines with strong publication track record Lead
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Familiarity with research methodologies and ethical guidelines related to clinical and animal studies Proficiency in multi-omics data analysis, and bioinformatics, preferably preferred Excellent organizational
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, including machine learning, computer vision, adaptive data modelling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms for solving ill-posed inverse problems
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computing. With extensive experience in medical image analysis, computer vision, and AI systems through collaborations with leading institutions. Key Responsibilities: Conduct advanced research in the areas
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and approaches to improve the software engineering process in Continental, especially requirement engineering and testing Conducting the research in combining AI techniques with formal methods
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Responsibilities: Electrochemical process on interface phenomena Battery testing under different conditions Simulation of scaled up process. Interface with machine learning group on data base set up Battery safety
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transmission and reflection geometry. Key Responsibilities: Operation, maintenance, and modification of scientific equipment in Prof. Chia’s laboratory Management of project issues, including related paperwork
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initiatives. Good communication, interpersonal and oral presentation skills. Good polymer science and hollow fiber membrane fabrication and modification background. Good knowledge of membrane processes. Good
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the NRF CREATE programme Singapore Aquaculture Solution Centre (SAS-C). This position is tailored for candidates with expertise in visual signal processing, biosignal interpretation, growth monitoring, and