54 postdoctoral-machine-learning scholarships at Technical University of Denmark in Denmark

PhD scholarship in Machine Learning in IoT Edge Devices – DTU Electro

Skip to main content. Profile Sign Out View More Jobs PhD scholarship in Machine Learning in IoT Edge Devices – DTU Electro Kgs. Lyngby, Denmark Job Description We invite applications for a PhD

PhD scholarship in Machine Learning Techniques for Spectral Shaping of Ultra-Broadband Optical Frequency Combs - DTU Electro

Skip to main content. Profile Sign Out View More Jobs PhD scholarship in Machine Learning Techniques for Spectral Shaping of Ultra-Broadband Optical Frequency Combs - DTU Electro Kgs. Lyngby

PhD scholarship in Uncertainty Quantification for Deep Learning - DTU Compute

on cutting edge machine learning methods? If you are establishing a career as a researcher in machine learning, and you are motivated to work with the latest methods for quantifying uncertainty in neural

PhD position: First-principles Many-Body Methods for Complex 2D Heterostructures at CAMD – DTU Physics

of specific 2D functionalization strategies, we have a broad and flexible focus when it comes to the employed methodologies (empirical models, DFT, many-body perturbation theory, machine-learning) the target

PhD position in Computational Electrocatalysis – DTU Physics

Dynamics (AIMD), and Machine Learning (ML) tools to develop theoretical electrocatalytic frameworks. Hereby, the project will challenge existing research on catalysis, move the boundary of fundamental

PhD scholarship in Building Information Modelling and Automation for Model Compliance with Rule-based Analyses – DTU Construct

with researchers from machine learning and fire safety and material science in a truly interdisciplinary environment. Co-author scientific papers aimed at high-impact journals. Participate in

PhD scholarship in Explainable AI and Bioinformatics for Health – DTU Health Tech

central goal of the project is to develop explainable machine learning models that allow insight into the interaction between genetics and other types of data that can be used for developing tailored

PhD scholarship in Developing and Applying Digital Twin Technology to a (High Shear) Granulation Process – DTU Chemical Engineering

with relevant data collected at industrial scale Apply AI / machine learning to support on-line deployment of the mathematical model for real-time prediction Using the model, investigate and prioritize

PhD scholarship: Pioneering Electric Heavy-Duty Freight Transport – DTU Management

event-based simulation and a variety of machine learning techniques. A strong curiosity and interest in current and future mobility challenges, especially those related to logistics. Excellent written and

PhD scholarship – Development of flexibility service in EV-dominated power systems using AI tools - DTU Wind

to a Master’s degree. The successful candidate has an education in a relevant engineering field or computer/data science and is motivated to specialize in electrical power systems. Candidates