Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
is available from 1 October 2026 or later. You can submit your application via the link under 'how to apply'. Title Data Analytics and Machine Learning on Compressed Data Research area and project
-
Are you analytically sharp and interested in how artificial intelligence can support learning and teaching? Then we have an exciting opportunity for you at Aarhus BSS. We are looking for a student
-
BSc and MSc programs, which are based on AAU's problem-based learning model. The department leverages its unique research infrastructure and lab facilities to conduct world-leading fundamental and
-
, you will work at the intersection of polymer processing, materials science and Machine Learning to develop dynamic recipes for sustainable plastics. In a typical plastics production line, several types
-
also participate in the department’s efforts to secure external research funding, and your responsibilities will include exploring opportunities in this regard. You will teach and supervise students
-
provides access to state-of-the-art sensory and analytical facilities, including a professional trained and tested sensory panel and an ISO-approved sensory laboratory. The team combines human sensory and
-
should have good analytical and problem-solving skills and be motivated to develop new approaches and connect paleoceanographic observations with broader climatic and oceanographic processes. You enjoy
-
the Department of Economics and Business Economics, we are looking for lecturers who can teach at Bachelor or Master’s level within, but not limited to, the following fields: Business Intelligence and analytics
-
Design invites applications for a PhD stipend in the field of secure machine learning within the general study programme Electronic and Electrical Engineering; as per November 1, 2026, or as soon as
-
Assistant Professor in statistics for the development of privacy-enhancing techniques in health care
substantial potential to improve diagnosis, prognosis, and treatment across a wide range of diseases through data-driven analytical approaches. Progress in developing robust methodological frameworks relies