Sort by
Refine Your Search
-
Country
-
Employer
- CNRS
- NEW YORK UNIVERSITY ABU DHABI
- SUNY Polytechnic Institute
- Chalmers University of Technology
- Computer Vision Center
- Delft University of Technology (TU Delft)
- Durham University
- FAPESP - São Paulo Research Foundation
- Georgia Institute of Technology
- Inria, the French national research institute for the digital sciences
- Institute of Physical Chemistry, Polish Academy of Sciences
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- National Aeronautics and Space Administration (NASA)
- Oak Ridge National Laboratory
- SUNY University at Buffalo
- Stanford University
- UNIVERSITY OF SYDNEY
- Universitat Politècnica de Catalunya (UPC)- BarcelonaTECH
- Universitat de Barcelona
- University Miguel Hernandez
- University of Beira Interior
- University of North Carolina at Chapel Hill
- University of Southern California
- University of Southern California (USC)
- University of Texas at Dallas
- Université Savoie Mont Blanc
- Université côte d'azur
- 17 more »
- « less
-
Field
-
territories. The pedigrees reconstructed in each populations are sufficient to estimate some simple quantitative genetic parameters, but they are incomplete and contain errors, which greatly limits
-
with physics-based models Developing robust and adaptive methods for real-time parameter and state estimation Implementing machine learning approaches that preserve physical constraints while handling
-
for nutrients, light, temperature, the influence of zooplankton or more generally higher trophic levels, as well as other parameters such as parasitism and allelopathy, if possible. The model can build on
-
machine learning models that predict soil health and crop performance. The position will exploit datasets integrating biochemical and molecular soil parameters (with a focus on microbiome features from
-
1: Extension of the coverage and performance of the HLA-Epicheck model through the addition of new antigens. This also includes optimizing the values of certain model parameters. Task 2: Evaluation
-
https://www.ubjobs.buffalo.edu/postings/59721 Employer Research Foundation Position Type RF Professional Job Type Full-Time Appointment Term Salary Grade E.89 Posting Detail Information Position Summary
-
determination of inversion parameters. 2. Vp and Vp/Vs tomographic inversion, analysis and interpretation of results (Vp/Vs in relation to Vp and seismicity). 3. Participation in events (workshops, conferences
-
with physics-based models Developing robust and adaptive methods for real-time parameter and state estimation Implementing machine learning approaches that preserve physical constraints while handling
-
Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 3 months ago
) algorithms for the identification of unknown BRP model parameters from time-course, single-cell (growth and gene expression) measurements over cell lineages. Develop methods for estimation of unobserved
-
the necessary interface between the computer and the neural network of the human retina in vivo – without introducing additional modifications to our organisms. Such an interface could, in turn, be developed