Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Germany
- France
- Norway
- Sweden
- Netherlands
- Denmark
- Spain
- Belgium
- Romania
- United Arab Emirates
- Australia
- China
- Czech
- Italy
- Poland
- Austria
- Israel
- Portugal
- Ireland
- Luxembourg
- Switzerland
- Estonia
- Hong Kong
- India
- Lithuania
- Mexico
- Morocco
- Saudi Arabia
- Singapore
- South Africa
- 22 more »
- « less
-
Program
-
Field
- Computer Science
- Mathematics
- Medical Sciences
- Economics
- Biology
- Science
- Engineering
- Business
- Materials Science
- Physics
- Linguistics
- Psychology
- Electrical Engineering
- Chemistry
- Earth Sciences
- Environment
- Law
- Education
- Sports and Recreation
- Arts and Literature
- Design
- Humanities
- Philosophy
- Social Sciences
- 14 more »
- « less
-
the development of novel mathematical and computational approaches for advanced relational data analysis. Where to apply Website https://pica.cineca.it/unimc/20-br-071/ Requirements Research FieldTechnology
-
Mathematics, with a strong background in probability theory and complex analysis. Skills in differential geometry are also required. The thesis topics will focus on constructive field theory for conformal field
-
on complex problems involving the development of new theories and methodologies. The research will be largely focused on the development of predictive computational tools for the analysis of the spatial spread
-
. The department has three scientific divisions, Algebra and Geometry, Analysis and Probability Theory, and Applied Mathematics and Statistics. We have an international environment with frequent exchanges with other
-
synaptic resilience and the reliability of synaptic responses. The work primarily involves mathematical modeling and numerical simulation, but also the analysis of experimental datasets for model validation
-
processes and stochastic analysis Theoretical analysis of neural networks and deep learning Foundations of reinforcement learning and bandit algorithms Mathematical and algorithmic perspectives on large
-
9 Apr 2026 Job Information Organisation/Company University of Basel Research Field Computer science » Other Mathematics » Applied mathematics Physics » Other Researcher Profile First Stage
-
mathematical, statistical, and machine-learning-based analysis of complex data sets, such as hypothesis testing, supervised/unsupervised learning, linear models, etc. Experience with atlas-scale single-cell data
-
numerical analysis, particularly computational complex analysis an excellent track record of publishing high-quality papers in top-tier mathematics journals solid mathematical programming skills. Pre
-
critical infrastructure—are increasingly exposed to cyber-physical attacks and uncertainties. These disturbances induce complex, time-evolving performance degradation that requires tightly integrated