126 postdoc-image-processing Fellowship positions at Nanyang Technological University
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undergraduate students. Provide logistical support pertaining to laboratory operation for the project. Job Requirements: PhD degree in physics, mathematics, engineering or related field Strong background in
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-injection techniques, solvothermal/hydrothermal growth, and sol-gel processes. Expertise in semiconductor material characterization (XRD, SEM, TEM, EQE, PL, UV-Vis spectroscopy). Knowledge and experience in
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, Julia. Understanding of one or more of the following areas would be an advantage Optimization Dynamic systems Control theory Power electronics Signal processing Machine learning and data science (various
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factors and processes linked to students’ peer relationships, such as family and school climate and structures. For the first year of the Project 3, the main goals are to explore the nature and structure
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discovery and energy applications. The role involves investigating the electronic structure and surface properties of energy-related materials, with a focus on catalytic interfaces, adsorption processes, and
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of invertebrate specimens (4) stable isotope analysis of leaf litter and soil samples. Findings of the study will improve our understanding of nutrient cycling processes in urban parks and forests, while also
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. Collaborate with a multidisciplinary team to ensure seamless operation of perception and control systems. Conduct experiments in real-world and simulated environments, with a focus on high-speed performance
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computer and data scientists, computational biologists, educationists and technologists. There are ample opportunities for various cross-domain ventures. Key Responsibilities: Deliver international standards
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processing would be an advantage. Proficiency in statistical software (e.g., R, Python, SAS, or Stata). Experience with clinical informatics approaches (e.g., cluster analysis, machine learning, Bayesian
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platforms for diabetes, regenerative medicine and extracellular vesicles research. Responsibilities include microfluidics engineering, cell culture, processing biofluid (e.g. blood) samples and data analysis