Sort by
Refine Your Search
-
Skip to main content. Profile Sign Out View More Jobs Postdoc position in advancing chemical impact assessment through machine learning - DTU Sustain Kgs. Lyngby, Denmark Be the First to Apply Job
-
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
-
of Denmark, focused on leveraging AI to develop a new generation of Machine Learning (ML)-based approximators to simulators. Such a technology will dramatically accelerate existing complex simulation models
-
postdoc position is part of the AUT section at DTU Electro which has demonstrated state of the art perception and machine learning solutions for autonomous systems in the fields of agriculture, construction
-
enzyme systems. Project Descriptions The AMD section is a leading group combining atomic- and multiscale modeling techniques, machine learning methods, and self-driving laboratories to accelerate
-
environmental engineering. Postdoc position in advancing chemical impact assessment through machine learning - DTU Sustain Kgs. Lyngby, Denmark Posted on 06/06/2024 Be the First to Apply Work with international
-
focus on (i) generative models and machine learning of structure-property relations (ii) crystal point defects for quantum technology applications (iii) excitons and nonlinear optics. You will work in an
-
that take into account their sensory and perceptual profiles. This project connects key principles of the neuroscience of perception, visual computing, human computer interaction and machine learning
-
the research community at conferences and workshops. You should bring the following qualifications: A PhD degree in (computational) neuroscience, biomedical engineering, computer vision, machine learning
-
chemical impact assessment through machine learning - DTU Sustain Kgs. Lyngby, Denmark Posted on 06/06/2024 Be the First to Apply Work with international front-runners in developing methods for assessing