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
- 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
- Virginia Tech
- 13 more »
- « less
-
Field
-
experience in developing competitive national and international research applications Experience in programming languages (e.g. Python/R) and analytical skills in model evaluation Experience in advanced
-
. 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
-
, 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
-
force, meaning that the employer shall notify the termination of the contract to the employee, at least seven, 30 or 60 days in advance, according to whether the contract lasted up to six months, six