Sort by
Refine Your Search
-
PhD position in the area of Multivariate dependence modelling and statistical machine learning algorithms for patient risk profiling. In partnership with RECENTRE (see https://www.4tu.nl/recentre/), a
-
"with memory" are of importance in several disciplines, such as for financial and statistical modelling. However, due to the correlation structure their computational simulation is very challenging
-
particles to shifts of prevailing cloud regimes in response to changing weather statistics. During your PhD research, you will explore concepts from complex systems theory and data-driven approaches
-
keen interest in uncertainty modelling, probability theory and statistics. You thrive on conducting research geared to real-world application in the security domain and are intrinsically motivated
-
) on the other hand. We use tools from statistical physics, information theory and non-linear dynamics to understand the how well a particular system responds to a stimulus, and how this stimulus is processed
-
challenges in such large-scale distributed networks i.e., the low-cost sensing, decentralized statistical inference, distributed control and online decision making. These distributed systems will have to fuse
-
regeneration methods. Explore laboratory data using statistics and adsorption models to understand underlying trends, explore adsorption mechanisms and predict performance. Investigate sorbent fouling and
-
of this position is the theoretical foundation of statistical machine learning, with applications to satellite-based imageries. Candidates are required to have a strong background in mathematical statistics, signal
-
, Statistics/Mathematics, Data Science, International Development, or a related field (essential). Experience working with large datasets, models and (geospatial) programming skills (e.g. preferably Python or R
-
to the research topic; A strong mathematical background in optimisation, statistical learning, linear algebra and probability; A solid understanding of machine and deep learning; An experience in programming in