48 parallel-processing-bioinformatics positions at SINGAPORE INSTITUTE OF TECHNOLOGY (SIT) in United Kingdom
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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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in POD, they jointly develop central policies and processes for the safe and seamless operation of laboratories in SIT. Key Responsibilities Design and teach labs & practice modules. Mentor students in
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cluster moulds electronic and computer engineers, computer scientists, AI engineers, interactive media and game development experts, software engineers, and information security specialists. We invite
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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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cluster moulds electronic and computer engineers, computer scientists, AI engineers, interactive media and game development experts, software engineers, and information security specialists. We invite
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data in collaboration with bioinformatics experts to assess library quality and performance. vii. Contribute to regular project meetings, reporting progress, troubleshooting technical challenges, and
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processes to ensure seamless operations, compliance with safety and quality standards, and effective client engagement. The ideal candidate will also contribute to continuous process improvement, training
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in POD, they jointly develop central policies and processes for the safe and seamless operation of laboratories in SIT. Key Responsibilities Design, develop, and deliver Food Technology and related
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processes to ensure seamless operations, compliance with safety and quality standards, and effective client engagement. The ideal candidate will also contribute to continuous process improvement, training
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Engineering or related disciplines. Priority skill areas include: process monitoring and control, industry 4.0, modeling, AI and ML applications for the process industries with particular emphasis on delivering