Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
Location: Odense, 5230, Denmark [map ] Subject Areas: Pure math with relations to quantum theory or with emphasis on Quantum algorithms, Quantum software and Quantum computing. Appl Deadline: 2025/12/01 11
-
are looking for a candidate to support our research activities within the areas of medical and surgical robotics, industrial (dis)assembly and (re)manufacturing, artificial intelligence, control, AI algorithms
-
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 To support our advancements in
-
Location: Odense, 5230, Denmark [map ] Subject Areas: Pure math, with relations to quantum theory or with emphasis on Quantum algorithms, Quantum software and Quantum computing. Appl Deadline: 2025/12/01 11
-
engineering, or a closely related field. Knowledge on SSM algorithms, Hands-on experience with layout and tape-out of CMOS chips. Experience in AI chip prototyping and hardware-software co-design. Solid
-
Position Location: Odense, 5230, Denmark [map ] Subject Areas: Pure math with relations to quantum theory or with emphasis on Quantum algorithms, Quantum software and Quantum computing. Appl Deadline: 2025
-
. Introduction The SDU Software Engineering section at the Maersk Mc-Kinney Moller Institute (Faculty of Engineering) invites applications for a 2-year postdoctoral position in the intersection of edge computing
-
, biomedical sensor and AI algorithm for cancer diagnosis. This project aims to develop a miniaturized robot and bio-sensor for on-site laryngeal cancer diagnosis. The candidate can contribute to one
-
languages. The section is part of the Department of Mathematics and Computer Science, and other research sections at the department are Algorithms Computational Science Data Science and Statistics Geometry
-
computational resources at the University of Southern Denmark (SDU). This project offers an excellent opportunity to contribute to cutting-edge AI-based Digital Twin modeling research within an interdisciplinary