63 combinatorial-optimization Fellowship positions at Nanyang Technological University
Sort by
Refine Your Search
-
Conversion of Biomass” is looking for a Postdoctoral Researcher in Chemical Engineering to optimize biomass extraction and for upscaling and improving flow processes. Key Responsibilities: Construction of a
-
solid particle transport. The successful candidate will contribute to the creation of an AI-optimized platform capable of achieving up to 50× speedups in simulation performance, enabling real-time, energy
-
of Physical and Mathematical Sciences. We are seeking a Research Fellow to contribute to the research agenda of the project ‘Geometric Optimization and Design in Learning and Robotics'. Key Responsibilities
-
languages; A good record of publications in reputable peer-reviewed journals or conferences in maritime transport, logistics management, machine learning, deep learning, and optimization; Proficient in
-
Materials, Bioinspired Materials and Sustainable Materials. We are looking for a research fellow with a strong background in electrochemistry and catalysis to Development and optimization of biomass chemical
-
Conversion of Biomass” is looking for a Postdoctoral Researcher in Chemical Engineering to optimize biomass extraction and for upscaling and improving flow processes. Key Responsibilities: Upscaling of flow
-
the prototyping of sensor devices and contribute to the optimization of fabrication processes. Maintenance of lab or equipment or supplies that include procurement and liaison with suppliers. Assist or produce high
-
to etch novel lattice patterns Perform optical characterizations of structures using various optical spectroscopy Collaborate with theoretical researchers in the design and optimization for new fundamental
-
/network/circuit patterns Perform characterization of structures using atomic force microscopy and optical spectroscopy Collaborate with theoretical researchers in the design and optimization for new
-
Responsibilities: Conduct programming and software development for graph data management. Design and implement machine learning models for optimizing graph data management. Conduct experiments and evaluations