152 Affordable Short courses in Saudi Arabia

This Photoelectrochemical Production of Hydrogen Peroxide (H2O2) (Internship) project from King Abdullah University of Science and Technology (KAUST) aims to design a functional photoanode for selective PEC water oxidation to H2O2.

The Decentralized AI-Powered Security Operation Center (SOC) (Internship) project from King Abdullah University of Science and Technology (KAUST) addresses the above challenges by investigating the feasibility, strengths, and tradeoffs of introducing a Decentralized SOC (D-SOC) architecture. 

This Investigating the Design and Engineering of Nanobodies for Advanced Biomedical Applications (Internship) project from King Abdullah University of Science and Technology (KAUST) focuses on the engineering and design of nanobodies, the smallest functional antibody fragments derived from camelid heavy-chain-only antibodies.

This Screening Semiconductors for Photoelectrochemical Transistors (Internship) project from King Abdullah University of Science and Technology (KAUST) aims to explore various semiconducting materials in transistor channels and characterize their nonlinear response to light stimuli.

The Investigating the Carrier Dynamics of Emerging Wide Band Gap Semiconductor for Novel Optoelectronic Applications (Internship) project from King Abdullah University of Science and Technology (KAUST) focuses on studying the fundamental physics of the carrier dynamics of wide-bandgap semiconductors such as III-nitrides and oxides.

This Real-Time Power Grid Monitoring using PMU-Based Synchrophasor Communication (Internship) project from King Abdullah University of Science and Technology (KAUST) focuses on the configuration, emulation, and testing of Phasor Measurement Units (PMUs) within a Real-Time Digital Simulator (RTDS).

The Sustainable Heritage Inspired Bio Composites (Internship) project from King Abdullah University of Science and Technology (KAUST) seeks to build on that tradition by applying classical architectural knowledge to the development of modern composite elements. 

The Autonomous Mining - Leveraging Silicon Photonics-Integrated LiDAR for Driverless Systems (Internship) project from King Abdullah University of Science and Technology (KAUST) focuses on enhancing the solid-state Frequency Modulated Continuous Wave (FMCW) LiDAR systems.

This Materials Engineering for Soil Amendment in Saudi Arabia (Internship) project from King Abdullah University of Science and Technology (KAUST) has pioneered game-changing technology to couple the giga-scale challenge of organic landfill diversion with the giga-scale opportunity of desert agriculture and greening.

The student of the Zero-carbon Fuels, e-Fuels and Biofuels - Analysis, Experiments and Modelling (Internship) project from King Abdullah University of Science and Technology (KAUST) will also develop and optimize chemical kinetic models to predict the performance of these fuels in practical devices. 

In this Causal and Fair Machine Learning (Internship) project at King Abdullah University of Science and Technology (KAUST) students will focus on how to make the current machine learning algorithms be fair. 

This Scalable Bayesian Inference for Structural Equation Models (Internship) project from King Abdullah University of Science and Technology (KAUST) aims to equip latent structural equation models with a powerful and highly efficient Bayesian inference engine called INLA.

The Triangleimines as Molecular Sieves for Selective Separation (Internship) project is offered at King Abdullah University of Science and Technology (KAUST).

In this Growth and Characterization of 2D Materials Using Sputtering (Internship) project from King Abdullah University of Science and Technology (KAUST) the student will be working on the growth of MoS2 using sputtering at different temperatures and characterizing them. The material will be later used in memory devices application.

The Topics in Machine Learning and Optimization (Internship) project is offered at King Abdullah University of Science and Technology (KAUST)

The Machine Learning Techniques for Divergence-free Field Reconstruction (Internship) project is offered at King Abdullah University of Science and Technology (KAUST).

This Geomorphological characterization of the Red Sea mesophotic reef environments using high-resolution multibeam data (Internship) project from King Abdullah University of Science and Technology (KAUST) aims is to derive and classify geomorphic features from high-resolution seafloor data and to explore how these features vary with depth in the shallow and mesophotic zones.

This Nanovisualization (Internship) project from King Abdullah University of Science and Technology (KAUST) will teach students about the nanovisualization technology which combines computer graphics and visualization for nano-structures in life sciences and biotechnology.

Students of the Machine Learning and Dynamical Systems (Internship) project at King Abdullah University of Science and Technology (KAUST)  will work on machine learning techniques applied to the study of dynamical systems.

The objective of this Real-Time (co-)Simulation for Cybersecurity (Internship) project  from King Abdullah University of Science and Technology (KAUST) is to use Real-Time Simulation (RTS) and co-simulation models for real-time prediction and control of disturbances related with attacks propagation.