Sort by
Refine Your Search
-
Category
-
Country
-
Program
-
Employer
- Princeton University
- City University of Hong Kong
- Nature Careers
- University of Exeter
- University of Oslo
- Zintellect
- CNRS
- Centre for Genomic Regulation
- Delft University of Technology (TU Delft)
- European Space Agency
- Forschungszentrum Jülich
- Fundació per a la Universitat Oberta de Catalunya
- Massachusetts Institute of Technology
- Max Planck Institute for Molecular Genetics •
- Missouri University of Science and Technology
- NTNU Norwegian University of Science and Technology
- Oak Ridge National Laboratory
- Swansea University
- Temple University
- Texas A&M AgriLife
- UNIVERSITY OF VIENNA
- Universidad de Alcalá
- Universidade de Coimbra
- University of Exeter;
- University of Vienna
- Université de Bordeaux / University of Bordeaux
- 16 more »
- « less
-
Field
-
environments like health care and environmental monitoring. This PhD project aims to address these challenges by exploring how evolutionary algorithms and reinforcement learning (RL) techniques can be combined
-
environments like health care and environmental monitoring. This PhD project aims to address these challenges by exploring how evolutionary algorithms and reinforcement learning (RL) techniques can be combined
-
: Cambridge, Massachusetts 02139, United States of America [map ] Subject Areas: Biology / Biodiversity , Cell Biology , Ecology , Evolutionary Biology , Microbiology , Molecular , Molecular/Cell Biology
-
), National Animal Disease Center, Virus and Prion Research Unit, located in Ames, Iowa. For an introduction to the flu-crew at the National Animal Disease Center, please see: https://youtu.be/kOJy8tFTuiI
-
models optimised with evolutionary algorithms to address combinatorial optimisation in model design and the noisy nature of climate data. The Doctoral Researcher will receive on-the-job training in machine
-
), National Animal Disease Center, Virus and Prion Research Unit, located in Ames, Iowa. For an introduction to the Flu crew at the National Animal Disease Center, please see: https://youtu.be/kOJy8tFTuiI About
-
of Device Bioengineering, including but not limited to the development and implementation of approaches that interface with living systems through novel materials and algorithms, electric and magnetic fields
-
that accelerate AI/ML when applied to large scientific data sets; Energy efficient physics-aware algorithms, capable of distributed learning on high performance and edge computing; The design of architectures
-
Machine Learning. Work plan: Review of the state of the art on Evolutionary Algorithms and image tampering detection; Implementation of an evolutionary algorithm for image tampering detection
-
Interatomic Potentials) code for ternary compounds with variable composition with crystal structure optimization algorithms (evolutionary, random, etc.); - Application of the CSP DFT/MLIP methodology to various