90 application-forms-"https:"-"https:"-"https:"-"UCL" Fellowship positions at Nanyang Technological University
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, building automation and control (BAC) system, Artificial Intelligence (AI) & Machine-Learning (ML) applications. Good written and oral communication skills Proficiency in power system modelling, advanced
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quality, which finally needs to go for the agricultural application in both lab scale and field testing. Job Requirements: PhD degree in Materials Science, Chemical Engineering, Biology (especially Plant
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where applicable. Perform other related duties incidental to the work described therein. Key Competencies and Requirements: PhD degree in Life Sciences, Biology, Biotechnology or related field At least 2
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for antibody generation and engineering. Collaborate with team members on research projects and contribute to manuscript preparation and grant applications. Job Requirements PhD (for Research Fellow) or MSc
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Responsibilities: Design and implement advanced AI/ML models for healthcare applications, including predictive analytics and generative AI solutions. Develop and validate digital phenotyping algorithms using
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on developing next-generation cell engineering technologies with applications in cell therapy, regenerative medicine and immunotherapy. The role sits at the interface of stem cell biology, genome engineering, and
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marker validation, basic biomarker assays). Coordinate external core services and pipelines for single-cell RNA-seq (and, where applicable, spatial profiling), including sample preparation, submission
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acoustic sensing leveraging deep learning To independently transform acoustic signals from continuous space to digital forms and apply math tools to interpret the results. To produce research reports and/or
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recognized research institute. Extensive research experience in the characterization of thin film composite coatings, with a strong emphasis on oxide and nitride composite thin film coatings. Applicants must
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academic background in machine learning and convex optimization. Prior experience in federated learning, edge computing, or healthcare applications is highly desirable. Proficient in Python and ML frameworks