Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
such as green cement, low-carbon steel, sustainable hydrocarbon management, metabolic engineering, and synthetic fuel development. Modeling & Systems Integration: Optimization theory, physical modeling
-
engineering processing, material recycling, nuclear chemistry, theory and modelling. Energy and materials advances research on materials and processes for the energy transition. We work across materials
-
models). Climate emulators for wave and sea level simulations. Use of Linux-based numerical computing servers. Specific Requirements Knowledge: Coastal morphodynamic processes at different time scales
-
training in swift water rescue techniques. Sea kayaking: Demonstrated personal and professional sea kayaking experience. Demonstrated ability to manage and instruct students in level 3 coastal kayaking
-
training in swift water rescue techniques. Sea kayaking: Demonstrated personal and professional sea kayaking experience. Demonstrated ability to manage and instruct students in level 3 coastal kayaking
-
climate-constrained water resources. The CTP research programme is summarised here: https://earthobservatory.sg/research/climate/climate-transformation-programme >. The Research Fellow will be based in
-
research training for undergraduate, Master’s (https://biology.ecu.edu/graduate-studies/ ), and Doctoral (https://idpbbc.ecu.edu/ andhttps://coastal.ecu.edu/integrated-coastal-sciences/ ) students
-
collaborative environment where employees can make meaningful contributions while growing their careers. Located in coastal North Carolina, UNCW combines the energy of a thriving academic community with
-
Kong and the Greater Bay Area; high-resolution regional climate modelling and dynamical/statistical downscaling; event attribution and climate-risk analytics; compound coastal, pluvial and fluvial
-
05.07.2026, Academic staff Our research combines mathematical modeling, numerical simulation, scientific computing, and data-driven methodologies to improve the predictive capabilities and