58 evolution-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Dip" Fellowship positions at Nanyang Technological University
Sort by
Refine Your Search
-
applying these methods to molecular sciences, including biology, chemistry, materials, etc. Key Responsibilities: Contribute to the development and implementation of Mathematical AI techniques, such as
-
, genetics, assay development, and cell-based screening to support chemical optimisation and target validation efforts. This work will directly contribute to the characterization of new inhibitors, elucidation
-
on carrying out research according to the proposed milestones. Key Responsibilities: The Research Fellow (RF) will work on a project to conduct the research on development of Self-Healing Ductile Cementitious
-
communication systems. A key part of this role is the design and development of simulation pipelines and digital twin architectures that couple virtual simulation environments with physical QKD security testbeds
-
are seeking a Research Fellow to contribute to a project focused on the Development of Advanced ReRAM Technology for Motion Analytics, Edge Intelligence and Smart Sensing. Key Responsibilities: To design and
-
on carrying out research according to the proposed milestones. Key Responsibilities: The Research Fellow (RF) will work on a project to conduct the research on development of Self-Healing Ductile Cementitious
-
audiences. Mentor and collaborate with students and interdisciplinary team members, and build partnerships with external stakeholders such as community organizations or industry. Support lab development
-
of faculty, students and alumni who are shaping the future of AI, Data Science and Computing. We are seeking to hire a Research Fellow to support research and development in Generative AI, Statistical machine
-
. Contribute to digital twin methodologies and predictive modelling. Execute experiments and deployments in laboratory and field environments. Publish scientific outputs and participate in grant development
-
development and implementation of arts-based programmes and to optimise the benefits from engaging in artistic experiences. The full project comprises four phases and involves eight sub-studies. It aims