29 postdoc-in-thermal-network-of-the-physical-building PhD positions at University of Southern Denmark
Sort by
Refine Your Search
-
of individual development. The group is involved in a variety of national and European projects and features a strong network of academic and industrial partners. We solve challenging research problems
-
within pharmacoepidemiology and has a large international network. Furthermore, we collaborate extensively with other groups, including both clinical and basic pharmacology researchers as
-
previous master’s degree in a field relevant to the mentioned PhD-project may seek the fellowships (material science, physics, chemistry, electrical engineering and similar). Candidates with experience in
-
build on ongoing developments in graph-based analysis of point cloud data and explore structured approaches to bone-wise alignment and rigid transformation estimation. The project combines methodological
-
background in analog and/or mixed-signal CMOS circuit design. Hands-on experience with Cadence analog and mixed-signal design tools. Experience in layout design and physical verification (DRC/LVS) using tools
-
successful candidate will join the section of fundamental physics to work with Associate Professor Sofie Marie Koksbang as part of the project “Unlocking the Power of Cosmography: A New Test of Our
-
of machine learning Distributed and federated training The candidate is expected to hold a relevant MSc degree in Computer Science, Data Science, Physics, (Applied) Mathematics, Computational Statistics
-
, sensing at the robot–environment interface, and bioinspired control strategies to allow the robot to perceive and adapt to different terrains. By bridging soft robotics, physical intelligence, and learning
-
should be uploaded as ‘Resume’. All other documents should be uploaded as ‘Miscellaneous documents’. Assessment and selection process Applications will be assessed by an assessment committee. Shortlisting
-
/feasibility studies at the Danish Epilepsy Centre (Filadelfia) and using ML and AL to process the data. Designing and implementing a low-power impedance integrated circuit, suitable for wearable in-ear devices