31 postdoc-machine-learning positions at Technical University of Denmark in Denmark

Postdoc in Computer Vision with Deep Learning for Material and Computational Design – DTU Compute

Skip to main content. Profile Sign Out View More Jobs Postdoc in Computer Vision with Deep Learning for Material and Computational Design – DTU Compute Kgs. Lyngby, Denmark Job Description Do you

Postdoc position: Integration of Electronic Structure Simulations and Data Science with Operando Visualizations of Single Nanoparticle Catalysts - DTU Physics

Skip to main content. Profile Sign Out View More Jobs Postdoc position: Integration of Electronic Structure Simulations and Data Science with Operando Visualizations of Single Nanoparticle Catalysts

Postdoc in Quantum Sensing – DTU Physics

modelling in physical systems and life sciences. Focus on advanced techniques and methodological advancements with real-world impact. Requires PhD in machine learning, experience in deep generative models

Two postdoc positions in Cyber-Physical Systems - DTU Compute

modelling in physical systems and life sciences. Focus on advanced techniques and methodological advancements with real-world impact. Requires PhD in machine learning, experience in deep generative models

Postdoc in socioecological system analyses and management - DTU Aqua

machine learning, experience in deep generative models, and programming proficiency. Postdoc in Game Theory for Sustainable Short-Sea Shipping – DTU Management Kgs. Lyngby, Denmark Posted on 03/07/2024 Two

Postdoc in Modeling Events in Connected Human Lives - DTU Compute

. Focus on advanced techniques and methodological advancements with real-world impact. Requires PhD in machine learning, experience in deep generative models, and programming proficiency. Page Postdoc in

Postdoc in Data Science for a National Neurophysiologic Database - DTU Compute

documenting their requirements Solid experience with full machine learning pipelines including feature design and selection, classification and validation. Experience in analysing neurophysiological data

Postdoc in New materials for sodium ion batteries - DTU Energy

aimed at combining new computational methods and machine learning in an efficient search for new sodium ion battery cathode materials with superior performance, earth abundant elements composition, and

Postdocs (2) in Generative Modelling with Applications to Physical Systems and Life Science - DTU Compute

appropriate models for these. The postdoc will be co-supervised by Professor Rasmus Bjørk from DTU Energy. The second postdoc position will be affiliated with the Centre for Basic Machine Learning in Life

Postdoc in Life Cycle Cost Modelling and Decision Making - DTU Wind

Seeking two postdocs for generative modelling in physical systems and life sciences. Focus on advanced techniques and methodological advancements with real-world impact. Requires PhD in machine learning