Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
systems contain bugs and vulnerabilities which can be exploited by malicious actors. This project will be conducted in the Software Engineering and Security (SES) group. The PhD student will conduct an in
-
, technology, animal health, and epidemiology. It consists of around 20 members, including PhD students, postdocs, senior researchers, a senior lecturer, and a professor, providing a stimulating and supportive
-
. The research group collaborates both within and across disciplines, e.g. with experts in crop production, technology, animal health, and epidemiology. It consists of around 20 members, including PhD students
-
learning, automatic control, computer vision, deep learning, and software engineering. Rules governing PhD students are set out in the Higher Education Ordinance chapter 5, §§ 1-7 and in Uppsala University's
-
21 Sep 2025 Job Information Organisation/Company Uppsala universitet Department Uppsala University, Disciplinary Domain of Science and Technology, Faculty of Chemistry, Department of Chemistry - BMC
-
look forward to receiving your application! At the intersection between AI and single atoms. Your work assignments We are looking for a PhD student with a background in machine and deep learning with
-
application! At the intersection between AI and single atoms. Your work assignments We are looking for a PhD student with a background in machine and deep learning with focus on image processing and restoration
-
malicious actors. This project will be conducted in the Software Engineering and Security (SES) group. The PhD student will conduct an in-depth investigation of a class of vulnerabilities and devise static
-
, contribute to a better world. We look forward to receiving your application! We are looking for up to two PhD students in trustworthy machine learning, with a particular focus on cybersecurity, privacy, and
-
application! We are looking for up to two PhD students in trustworthy machine learning, with a particular focus on cybersecurity, privacy, and verifiability for AI systems, based at the Department of Computer