171 algorithm-development-"Prof"-"Washington-University-in-St"-"Prof" Fellowship positions at Nanyang Technological University
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an emphasis on technology, data science and the humanities. We are looking for a Research Fellow to work on AI in mental health. The role will focus on developing predictive models for early detection of mental
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. Key Responsibilities: To develop process for electroreforming of biomass to chemicals and fuels To fabricate device prototypes of plasmon-enhanced electroreforming of biomass Conduct research and
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. This role involves developing computational pipelines, conducting statistical and bioinformatics analyses, and integrating multi-omics data to support precision oncology research. The position aligns with
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Responsibilities: To carry out a comprehensive literature and market survey on robotic communication protocol design. To develop a new framework that allows different robots to communicate with each other and, most
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lead research on next-generation solar harvesting materials, focusing on developing and optimizing synthesis methods for novel inorganic nanoparticles and quantum dots designed for solar-to-energy
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data analysis, methodology development and applications • Coordinate the preparation of project reports and deliverables • Publish findings in peer-reviewed journals and conference
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. Our multi-disciplinary team has developed the CADENCE D-PHA (Digital Personal Health Assistant), a multi-component mobile health application designed to improve medication adherence. The app aims
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Control whose primary focus will be developing security solutions for expanding networked cyber-physical systems. This role will involve designing, analyzing, and implementing advanced control methods
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focus on translational Research, Development & Deployment which focus on specific area of the energy value chain, and a number of Living labs and Testbeds which facilitate large scale technology
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are seeking a Research Fellow in the fields of Scientific Computing for interdisciplinary applications, to contribute to a project focused on developing and analyzing efficient computational methods for PDEs in