Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Nature Careers
- Cornell University
- CNRS
- John Innes Centre, Norwich;
- Aarhus University
- National Aeronautics and Space Administration (NASA)
- Texas A&M AgriLife
- The University of Arizona
- ENSICAEN
- Empa
- Göteborgs universitet, Department of Marine Sciences
- LIVERPOOL JOHN MOORES UNIVERSITY
- Missouri University of Science and Technology
- Pennsylvania State University
- Rochester Institute of Technology
- Rutgers University
- Technical University of Denmark
- Texas A&M AgriLife Extension
- Texas A&M University
- University of Florida
- University of Liverpool
- University of Liverpool;
- University of Oxford
- University of Oxford;
- University of Sydney
- Utrecht University
- Villanova University
- Wrocław University of Science and Technology
- 18 more »
- « less
-
Field
-
to probe structure–property relationships in adsorption capacity and photocatalytic degradation kinetics. Functionalization strategies—particularly involving nitrogen and oxygen donor groups—will be employed
-
key agroecosystem variables. These variables include cover crop growth, crop nitrogen, yield, and tillage practices. You will develop novel algorithms to integrate data-driven machine learning and
-
focused on defect engineering of two-dimensional transition metal dichalcogenides (2D-TMDs) for electrochemical nitrogen reduction reaction (NRR). The postdoc will be responsible for synthesis, exfoliation
-
, specific tree mortality processes, and the integration of permafrost dynamics and the nitrogen cycle. These features, which lead to the development of ORCHIDEE v4, offer new opportunities but also require
-
for Regional Environmental Nitrogen Measurements (Onderzoeksprogramma Regionale Omgevingsmetingen Stikstof, OROS) is essential, as there are clear parallel questions. The project provides strong support for your
-
and leadership skills. Key Responsibilities Lead experiments to characterize corn intraspecific aboveground and belowground competition for nitrogen under different environmental constraints. Integrate
-
key agroecosystem variables. These variables include cover crop growth, crop nitrogen, yield, and tillage practices. You will develop novel algorithms to integrate data-driven machine learning and
-
environmental changes. More specifically, they will develop methods and approaches to identify changes in underlying biogeochemical processes that affect carbon and nitrogen balances. The candidate will have
-
coordination with the South Florida Water Management District (SFWMD ) that will evaluate phosphorus and nitrogen removal enhancement in Taylor Creek Stormwater Treatment Area (STA) discharging into Lake
-
the adsorption and transformation of nitrogenous organic contaminants on the surfaces of pyrogenic carbonaceous materials (eg., activated carbon and biochar). The candidate will have opportunities to interact with