21 machine-learning PhD positions at Delft University of Technology (TU Delft) in Phd

PhD Position Multivariate Dependence Modelling and Statistical Machine Learning Algorithms for Patient Risk Profiling

://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

PhD Position Physics Informed Machine Learning for Metamodeling Equipment Performance on Industrial Scale

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

PhD Position in Control Theory and Machine Learning for Robust and Sustainable Plants Models at CropXR/TU Delft

. 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

PhD Position Rheumatic Digital Twin | Integrating Clinical and Omics Data

. 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

PhD Position Validating Automatically Generated Code

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

PhD Position Automated Activity Detection from Multiple Sensors

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

PhD Position Spread in Networks

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

PhD Position Fuel Optimisation with Explainable ML

-box nature of machine learning models, you will bring clarity and predictability to your models. Trust will be earned as you evaluate the robustness of your models in different scenarios, identifying

PhD Position Optimal Exploration of Networks

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

PhD Position in Data- and AI-driven Transportation Infrastructure Life-Cycle Extension

the following domains: structure & infrastructure modelling, algorithmic decision-making, transportation engineering, uncertainty quantification, geo-data analytics, machine learning, and optimization