70 phd-machine-learning positions 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 – Development of flexibility service in EV-dominated power systems using AI tools - DTU Wind

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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 scholarship in Key Determinants of Sustainable Lifestyles - DTU Sustain

assessments. The exceptional availability of Danish Big Dataset on health outcomes, consumption and sustainability. A unique combination of mass balance-based Source-to-Impact Models and Machine Learning

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

Postdoc position in advancing chemical impact assessment through machine learning - DTU Sustain

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PhD scholarship in Single Cell Bioinformatics – DTU Health Tech

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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 In Situ Fabrication of Quantum Emitters in Hexagonal Boron Nitride – DTU Nanolab

microscopy and automated data analysis via machine learning we aim at creating structure-functionality correlations for tailored materials. In collaboration with theoreticians, we aim at extracting data from