46 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" positions at Delft University of Technology (TU Delft)
Sort by
Refine Your Search
-
-scale compound drivers. We will leverage machine learning methods to bridge the gap between drivers at coarse model resolutions and impacts captured by high-resolution observations. Job description Arctic
-
). Experience applying statistics and Machine/Deep Learning to real-world data. Experience working with manufacturing process data, robotics systems and/or metrology data (sensor data, quality data, measurement
-
to develop generative AI methods for nanoparticle drug delivery design, at the intersection of machine learning, explainability, and pharmaceutical nanotechnology. Job description We are looking for a
-
unsolicited services. Where to apply Website https://www.academictransfer.com/en/jobs/359858/postdoc-development-and-evaluat… Requirements Additional Information Website for additional job details https
-
: … Where to apply Website https://www.academictransfer.com/en/jobs/359860/phd-position-development-of-sus… Requirements Additional Information Website for additional job details https
-
website about knowledge security. Please do not contact us for unsolicited services. Where to apply Website https://www.academictransfer.com/en/jobs/359826/postdoc-digital-twin-validation… Requirements
-
. Change. Impact! Faculty Mechanical Engineering From chip to ship. From machine to human being. From idea to solution. Driven by a deep-rooted desire to understand our environment and discover its
-
applicants should have a strong academic record with a solid background in Machine Learning. Knowledge of Vision-Language-Action models and Novel View Synthesis techniques is a strong plus. Good programming
-
to the adaptation of the Environmental Noise Directive for these new technologies. Your main focus will be to develop machine learning-based drone noise models that will be able to generate an accoustic footprint
-
you to apply. Your application will receive fair consideration. Challenge. Change. Impact! Faculty Mechanical Engineering From chip to ship. From machine to human being. From idea to solution. Driven by