Sort by
Refine Your Search
-
projects or employment). Your profile You have outstanding experience in Machine Learning with a PhD degree from a university in Computer Science, or related fields, with a proven track record in machine
-
strategies to design pulse sequences for high-resolution solid-state NMR under magic-angle spinning and static DNP in close collaboration with two PhD students working on these topics. The efficiency
-
construction or related fields Knowledge and experience in data analysis and database management, as well as emerging technologies applied to the construction sector, such as BIM, scanning, machine learning
-
experience in Machine Learning with a PhD degree from a university in Computer Science, or related fields, with a proven track record in statistical machine learning, deep learning, and graphical modelling
-
, machine learning, modeling, and custom hardware, we test our solutions in various real-world projects with industry. Project background We foster a culture of continuous improvement, transparency, and no BS
-
, machine learning, modeling, and custom hardware, we test our solutions in various real-world projects with industry. Project background We foster a culture of continuous improvement, transparency, and no BS
-
. Applications include sport and health. The candidate is to teach subjects related to biosignal processing. Project background Your research will aim to conceive and design innovative solutions for monitoring
-
. The position is in computer simulations of supermassive black hole disks, funded through a MERAC grant (PI: J. Szulagyi). The desired starting date is as soon as possible, but the latest of Dec 1st 2024. Project
-
health-monitoring wearable devices, then please apply. The research will be highly collaborative; you should be eager to learn new science and technologies as well as contribute to the group through
-
interdisciplinary research to promote innovation, research translation, and increase impact. The facility houses rapid prototyping machines, exoskeletons, instrumented treadmills, two MRI systems, two CT scan