Sort by
Refine Your Search
-
Listed
-
Category
-
Field
-
algorithms, optimization routines, and simulation-based decision tools. Support project-based learning with practical applications in PDEs, ODEs, discrete optimization, and control theory. Provide expertise in
-
. Support project-based learning with practical applications in PDEs, ODEs, discrete optimization, and control theory. Provide expertise in operations research methods (e.g., linear, nonlinear, integer
-
, analyze, and optimize new algorithms and system architectures for secure communication. Bridge theory and practice by developing simulation frameworks and/or contributing to experimental testbeds. Publish
-
communication. Bridge theory and practice by developing simulation frameworks and/or contributing to experimental testbeds. Publish results in leading journals and present findings at top-tier international
-
learning methods. Develop deep learning architectures (e.g., variational autoencoders, graph neural networks, transformers) for cross-omics data representation and feature extraction. Apply multi-view
-
CBS - Postdoctoral Position, Artificial Intelligence Applied to Metabolomics for Health Applications
metabolomics data from clinical studies. Apply deep learning models (e.g., autoencoders, variational autoencoders, graph neural networks) for biomarker discovery, disease classification, and patient
-
: Holomorphic functions, residue theorem, and their application to optical system analysis. Differential Geometry: Study surfaces and curves in optical materials using tensor calculus. Group Theory: Using
-
on propulsion systems for small satellites, with emphasis on chemical, electric, and green micro-propulsion systems. They will also teach propulsion theory and lab-based courses, and contribute to CubeSat mission
-
behavior within the storage system to optimize design and performance. Demonstrated proficiency in Density Functional Theory (DFT) and/or Molecular Dynamics (MD) simulations, enabling the computational
-
advanced characterization methods of inorganic materials and their assemblies, ideally with a focus on battery materials. Demonstrated proficiency in Density Functional Theory (DFT) and/or Molecular Dynamics