Sort by
Refine Your Search
-
activated carbon filters using advanced analytical techniques. Project overview In this PhD project, you will analyse the removal of organic micropollutants (OMPs) from wastewater in biological activated
-
. Position description Construction industry is one of the biggest contributors to waste and carbon emission and this sector is at a crossroads. Unless major changes, the industry risks failing to meet the
-
. This will be achieved by combining advanced constitutive models that capture the rate-dependent (creep and porewater pressure) response of sensitive clays with erosion models enabling system-level studies
-
responsibility is to conduct high-quality research on hybrid artificial intelligence. You will: Combine deep learning to capture long-term patterns and uncertainties with stochastic model predictive control
-
, environmental assessment tools, and cost-minimizing models, where all energy sectors compete for the same primary energy sources in a future carbon constrained world. Currently, we have a special interest in the
-
achieved by combining advanced experimental probing with the development of constitutive models that capture the rate-dependent (creep and porewater pressure) response of sensitive clays. Thus, we will be
-
developed in our group to accurately capture the coupling between magnetism, lattice vibrations and disorder to search for novel magnetic materials. Your studies will include theoretical analysis
-
monitoring. These applications rely on remote sensors to capture PCs and wirelessly transmit them to edge servers for downstream tasks, such as registration, i.e., aligning multiple PCs within the same 3D
-
of vegetation, presenting the ability to derive the internal functional traits and physiological properties of trees. This PhD position focuses on developing a method to capture localized measurements of water
-
the carbon flux in Chlorophyta to elucidate the metabolic pathway from CO2 to the cell wall and use molecular biological tools to generate algal strains with improved cell wall properties. This project offers