Sort by
Refine Your Search
-
of mining processes, mathematical modeling of flows and extraction decisions, and the use of machine learning algorithms to predict ore quality and optimize operational decisions. 2. Key Responsibilities
-
the estimation of some of the significant water balance components. The candidate is expected to seek an optimal integration between the physical representations of the various processes and the computing power
-
for the design, analysis, and optimization of energy networks in urban environments. We are seeking a dynamic and motivated specialist to join our research team on urban energy networks management. The selected
-
, delay, network lifetime, power efficiency, and security. In the literature, WSN design is typically optimized to maximize/minimize one or more of the abovementioned metrics under certain constraints
-
. The successful candidate will conduct cutting-edge research on how microalgae and cyanobacteria can enhance soil fertility, optimize nutrient availability, and contribute to more sustainable agricultural practices
-
products. Investigate and optimize technologies for biomass pretreatment, enzymatic hydrolysis, fermentation, and other biochemical or thermochemical processes. Investigate the potential of seaweed-derived
-
. The selected candidate will contribute to an in-depth study of organic, colloidal, biological, and inorganic fouling mechanisms, the optimization of cleaning protocols (CIP – Cleaning in Place), and the
-
coatings, to protect the LFP particles while optimizing their performance in high-energy-density applications. The coated LFP materials should exhibit superior mechanical and chemical resilience, ensuring
-
processes. This project focuses on designing and optimizing novel materials that enhance the efficiency and effectiveness of converting biomass into valuable products such as biofuels and fine chemicals. We
-
, testing, and demonstration of novel CCUS technologies Process simulation, cost, life cycle, and social assessment of CCUS value chains Reactor design, optimization, and sizing using phenomenological and/or