19 phd-in-computer-vision-and-machine-learning Postdoctoral positions at Umeå University
Sort by
Refine Your Search
-
learning. The employment is full-time for two years starting from August 1st 2025 or by agreement. Apply latest April 7th 2025. Project description Geometric deep learning refers to the study of machine
-
, military service, or similar circumstances, as well as clinical practice or other forms of appointment/assignment relevant to the subject area. The successful candidate must hold a PhD in one of
-
organisations, military service, or similar circumstances, as well as clinical practice or other forms of appointment/assignment relevant to the subject area. Postdoctoral fellows who are to teach or supervise
-
for an excellent young life science or computational researcher to become Group Leader. Fellowships are targeted towards applicants to start their first independent group within a few years of their PhD. We offer
-
and will encompass major efforts at Sweden’s foremost universities over the course of 10 years. The vision is a sustainable future through materials science. Read more: https://wise-materials.org All
-
service, or similar circumstances, as well as clinical practice or other forms of appointment/assignment relevant to the subject area. The successful candidate should have a PhD in terrestrial ecology
-
education to enable regions to expand quickly and sustainably. In fact, the future is made here. The Department of Computing Science is looking for a postdoctoral researcher in Human-Robot Collaboration
-
proven experience, an area that has been strengthened by the national initiative ULF (Development, Learning, Research). Learn more here: https://www.umu.se/en/department-of-creative-studies/research
-
, Umeå University, and is financed by Umeå School of Education. Project description This postdoctoral fellow position is part of a new career program , initiated by Umeå School of Education. It is linked
-
their doctoral degree prior to that may also be eligible. Special reasons include absence due to illness, parental leave, appointments of trust in trade union organizations, military service, or similar