Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Nature Careers
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Aarhus University
- Durham University
- NEW YORK UNIVERSITY ABU DHABI
- Purdue University
- UNIVERSITY OF HELSINKI
- University of Miami
- Virginia Tech
- Delft University of Technology (TU Delft); Delft
- Duke University
- INESC ID
- INSTITUT NATIONAL DES SCIENCES APPLIQUEES
- Leibniz
- Max Planck Institute for Nuclear Physics, Heidelberg
- National Aeronautics and Space Administration (NASA)
- Rutgers University
- Stanford University
- University of Nevada, Reno
- University of North Carolina at Chapel Hill
- University of Texas at Arlington
- University of Washington
- Villanova University
- 13 more »
- « less
-
Field
-
research project entitled, A community driven modeling approach for identifying community & policy-level interventions to address the impact of structural racism and discrimination on adolescent substance
-
. Knowledge and experience of physical testing would be an advantage. The sucessful candidate is resposnible to provide insights into this complex soil-structure interaction problem through numerical modelling
-
nutrient cycling. This position offers a unique opportunity to investigate how soil microorganisms contribute to soil structure, fertility, and ecosystem functions in both natural and managed ecosystems
-
analytical skills in model evaluation Experience in advanced statistical analysis of results Experience with crop model calibration and evaluation, such as DSSAT, APSIM, or equivalent Insight into analyzing
-
methodology for analysing long-term spatially structured data sets within a joint species distribution modelling framework. For more information on REC, please see https://www2.helsinki.fi/en/researchgroups
-
analytical skills in model evaluation Experience in advanced statistical analysis of results Experience with crop model calibration and evaluation, such as DSSAT, APSIM, or equivalent Insight into analyzing
-
, the project takes advantage of the unique long-term datasets collected in Finland. REC also develops state-of-the-art methodology for analysing long-term spatially structured data sets within a joint species
-
Post Doctoral Researcher in Digital Twins CO2-to-Protein production in collaboration between the ...
for production improvement. Explore, build and validate a low fidelity digital twin including more advanced high fidelity configurations critcal for scaling and improvement. Calibrate the models inside the digital
-
for production improvement. Explore, build and validate a low fidelity digital twin including more advanced high fidelity configurations critcal for scaling and improvement. Calibrate the models inside the digital
-
this role, please contact Prof. Dr. Anton Potapov at anton.potapov@senckenberg.de . Would you like to contribute to advancing our understanding of soil ecosystems? We warmly invite you to apply! For data