147 parallel-processing-bioinformatics Fellowship positions at Nanyang Technological University
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into research recruitment, consent, communications, and return‑of‑results processes. Through this work, the role helps strengthen the relevance, quality, and impact of large‑scale precision medicine research. Key
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support the proper operation and maintenance of laboratory equipment. Job Requirements PhD degree in Electrical Engineering, Power Electronics, Power Engineering, or a closely related field. Strong
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of research. Job Requirements: PhD degree in Computer engineering, Computer Science, Electronics Engineering or equivalent. Independent, highly analytical, proactive and a team player Excellent
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, and laboratory operations. Job Requirements: PhD in Electrical Engineering, Computer Engineering, Physics, or a closely related discipline. At least three years of relevant research experience in
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research questions. Strong quantitative research skills and proficiency in Python or R. Experience with large-scale textual data, natural language processing, machine learning, transformer-based models
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, agricultural expansion, and related environmental processes, including carbon, water, ecosystem, or climate impacts. Proficiency in programming and geospatial analysis skills, preferably including Google Earth
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and study team Assist in the supervision of student projects within the program of work. Ensure all work processes meet the ethical standards of the University, Singapore Good Clinical Practice
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) would be an added advantage Possess good programming, optical instrumentation, automation and data processing skills (e.g. C++, LabVIEW, Zemax, OSLO, TracePro, MATLAB, Python, ImageJ) Proven publication
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demonstrated expertise in handling rodents as well as functional and behavioral assessments. Published expertise in animal surgery, preferably SCI microsurgery in rodents Hands-on experience with tract tracing
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will be preferred. Requirements: PhD degree in learning sciences, educational technology, human-computer interaction (HCI), information technology, AI or relevant fields Prior experience and proficiency