Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- Germany
- France
- Portugal
- United Kingdom
- Sweden
- Norway
- Poland
- Belgium
- Austria
- Spain
- Netherlands
- United Arab Emirates
- Luxembourg
- Singapore
- Denmark
- Switzerland
- Italy
- Estonia
- Japan
- Canada
- Czech
- Australia
- Romania
- Saudi Arabia
- Brazil
- Finland
- Andorra
- Armenia
- China
- Croatia
- Iceland
- Ireland
- Lithuania
- Taiwan
- Uzbekistan
- 26 more »
- « less
-
Program
-
Field
- Computer Science
- Economics
- Medical Sciences
- Engineering
- Mathematics
- Science
- Biology
- Materials Science
- Business
- Environment
- Chemistry
- Social Sciences
- Psychology
- Earth Sciences
- Arts and Literature
- Education
- Linguistics
- Physics
- Law
- Electrical Engineering
- Sports and Recreation
- Design
- Humanities
- Philosophy
- 14 more »
- « less
-
the Program or a related area of the mathematical sciences, with prior familiarity with the basics of quantum algorithms. Knowledge of numerical methods for solving differential equations is an asset but not a
-
the development and application of probabilistic inference methods and machine learning techniques for quantitative uncertainty modeling and for the integration of heterogeneous climate data
-
interest in learning, adaptation, and dynamical systems in physical contexts Experience with analytical and\or computational modeling. Proficiency in numerical methods and coding (Python, JAX, MATLAB
-
privacy constraints. About the Project The central aim of this project is to pioneer statistical methods for high-dimensional diffusion processes under privacy constraints. While stochastic differential
-
assembly. - Implement numerical simulations of random networks where the functionality of the nodes is fP and the number of edges is determined by the number of linkers. - Calculate, using the above theory
-
, or on the observation and monitoring of science and technology or system of higher education, in Portugal or abroad. 6.2 — The score obtained in the curricular evaluation method is expressed on a numeric scale of 0 to 20
-
— The score obtained in the curricular evaluation method is expressed on a numeric scale of 0 to 20, considering the valuation up to two decimal places. 6.3 — The jury deliberates by vote justified according
-
, artificial intelligence—and particularly machine learning methods—has become indispensable. Depending on the specialty, processed data may include numerical values, point clouds, text or images, often
-
have a strong background in geophysics and expertise in at least one of three areas: 1. Seismology, particularly ambient noise techniques and seismic tomography 2. Potential field methods, using gravity
-
numerical methods 5. Preferred: Knowledge of collisional molecular shape theory and optical resonances 6. Required: Good English (spoken and written) 7. Ability to work in a team and strong motivation