13 machine-learning-"https:" "https:" "https:" Postdoctoral positions at Technical University of Denmark
Sort by
Refine Your Search
-
Job Description Are you passionate about using atomistic simulations and machine learning to accelerate the green transition? Do you want to understand, atom by atom, why electrolysers degrade, and
-
intersection of robotics, control engineering, machine learning, and neuro-inspired computing, while collaborating closely with academic partners and researchers across disciplines in Denmark as well
-
model predictive control, machine learning, or reinforcement learning. Experience with IoT, edge computing, and cloud integration. Proven ability to contribute to research funding proposals
-
part of a world leading research environment and contribute to the development for the next generation machine learning tools for power systems. One Postdoc will be involved in the newly funded project
-
new generation of embedded intelligence within grid-connected power converters and variable-frequency motor drives with edge computing and machine learning capabilities. The Postdoc positions are part
-
. Publish findings at the intersection of AI, perception, XR, and universal design. We are looking for a candidate who: has a strong background in machine learning, computational perception, XR, HCI
-
disciplines. We are looking for : A strong research background in computer science, machine learning or a closely related field. An interest in AI for Science but bioinformatics background is not required
-
Job Description Do you want to design the microbial foods of the future? You will use metabolic engineering, advanced analytics, machine learning, and fermentation technologies to create novel, well
-
galaxy formation, Lyman-alpha absorption, ISM/CGM evolution at high redshifts, JWST NIRSpec spectroscopy, and Machine Learning / statistical inferences for large datasets are strongly encouraged to apply
-
optimization Experience with large-scale algorithm design and implementation Knowledge of decision making under uncertainty Ideally, some exposure to machine learning methods A passion for research