200 cloud-computing-"https:"-"https:"-"https:"-"https:"-"St" Fellowship positions in Singapore
Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational
-
to the applications of mathematics in cryptography, computing, business, and finance. PAP covers many areas of fundamental and applied physics, including quantum information, condensed matter physics, biophysics, and
-
The Singapore University of Technology and Design (SUTD) invites applications for Research Engineer or Research Fellow positions in the areas of low-power electronics, embedded systems, and energy-efficient hardware design for next-generation aerial robotics. The selected candidate will play a...
-
required to substantially advance a research programme focused on next-generation optical imaging and sensing technologies, aimed at pushing the boundaries of performance and enabling new capabilities
-
Postdoctoral Fellow to work on research in the areas of demographic aging and mortality, with an active focus on Singapore and Asia. The project is part of a larger interdisciplinary research program aimed
-
of motor neuron degeneration. The successful candidate will be tasked with designing and managing a comprehensive research programme aimed at elucidating the mechanisms contributing to sporadic ALS
-
data analytics. Develop and refine methodologies and testing protocols for lab. Perform materials characterization for thin films. Conduct computer simulations with softwares such as ANSYS/COMSOL. Work
-
, or related fields majoring in Computational Fluids Dynamics (CFD); • Well informed and knowledgeable in urban climate modelling; • Highly experienced in using environmental simulation tools, such as
-
, Atmospheric Sciences, Urban Climate, Architecture Engineering, Building Science, or related fields majoring in Computational Fluids Dynamics (CFD); Well informed and knowledgeable in urban climate modelling
-
science, GIS, computer science or other relevant disciplines • Good background knowledge and overall interest in design technology • Proficient in statistical and programming skills, like Python