19 parallel-and-distributed-computing-"U.S" positions at University of Twente in Netherlands
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
Vacancies PhD position on Sustainable Mobile Networks Key takeaways Mobile networks, as a key component of digital connectivity and computing infrastructures, play a crucial role in modern life
-
funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Job description Circularity
-
terms of technologies, infrastructures, (geo)spatial distribution, scale and related investment needs matters for how and which stakeholders are affected, who gains or loses power, and how benefits and
-
MSc courses in Civil Engineering, and operates across the three main themes of Construction, Transport and Water. The Department has around 50 academics distributed over nine Chairs. About the
-
that are interested in developing computer models of the composite human neuro-muscular system that combine detailed musculoskeletal geometries, muscle-tendon models and neural control pathways (e.g., CPG-like and
-
at the Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS), University of Twente in Enschede, The Netherlands, and several experienced supervisors (Dr. Ray Hueting, PE group and Prof
-
. The intended starting date is around April 1, 2026. Screening is part of the selection procedure. About the organisation The faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) uses
-
Computer Science (EEMCS) uses mathematics, electronics and computer technology to contribute to the development of Information and Communication Technology (ICT). With ICT present in almost every device and
-
: Deep learning Medical image computing (preferably x-ray imaging) Computationally efficient deep learning Deep learning model generalisation techniques Translating deep learning models into clinical
-
learning Medical image computing (preferably x-ray imaging) Computationally efficient deep learning Deep learning model generalisation techniques Translating deep learning models into clinical settings