Sort by
Refine Your Search
-
://www.tudelft.nl/ewi/over-de-faculteit/afdelingen/applied-mathema… ) is offering a full-time PhD position in the area of Multivariate dependence modelling and statistical machine learning algorithms for patient
-
transportation networks but also the case of wind farms, solar grids and IoTs. Consequently, developing and using machine learning tools to process these graph data is more important than ever. Such a tools need
-
available validated DEM simulation models and enriched by operational equipment performance data. To this end, physics informed machine learning techniques will be used to bring model data and real data
-
nonlinear interactions at the origin of such extreme events. In this project, we will explore the use of cutting-edge scientific machine learning framework that blends deep learning with physics-based
-
. On this PhD project you will develop novel systems biology methods employing control and analysis of dynamical models, and machine learning models, in particular neural networks. The developed methods will be
-
. Requirements Specific Requirements You hold a MSc degree in bioinformatics, computer sciences, statistics, life sciences or a similar area. You possess a strong background in data analytics and machine learning
-
equivalent) in Computer Science, with a focus on Software Engineering, Software Testing, Machine Learning, or similar areas. Proficiency in JVM-based languages such as Java, Kotlin, or Scala, ideally supported
-
has been on single-camera data analysis. As a PhD at TU Delft you will conduct unique research and design machine learning algorithms for detecting relevant activities from multiple cameras, and
-
Job related to staff position within a Research Infrastructure? No Offer Description Epidemic processes widely apply to biological and computer network viruses, to cascading failures in power grids
-
share the ambition to be the world’s top scientists in the field of AI and machine learning, and encourage you to spar with us. Fostering a welcoming and collaborative atmosphere, we will give you all