Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
Matlab, Python, C++ or other relevant language and experience in deep neural networks. Experience and demonstrable expert knowledge in one or more or the following areas: deep learning; graph neural
-
at traditional domains (applied mathematics, data science, systems and control theory), multidisciplinary journals for a broad scientific audience, as well as discipline-specific journals in other domains (e.g
-
learning and one or more of the following: transformer networks, implicit neural functions, graph neural networks and/or probabilistic graphical models; and causal inference. • An outstanding publication
-
that theory into functional applications. To be successful you will need: Knowledge of commercial programming language and environment (i.e. Java, .NET, C++) Competence in a data science programming language
-
group to work on a project developing provable network security methods that use higher-order graph-based abstractions to model networks and network security problems. Scalable algorithms developed
-
. Knowledge in Advanced Physical Models such as the ones typical used in Many Body physics, Superconducting Quantum field theories and RF Quantum Optics. Interests in Exploring novel kinds of Quantum Sensors
-
and polyploid crop species and benchmark them against other methods such as graph-based methods. This project will combine algorithm development and computational programming with large population
-
languages (e.g., Julia, Matlab, C#, C++) Familiarity with the applications and theory of environmental genomics Qualifications: A PhD in quantitative ecology, quantitative conservation biology, applied