Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
through post-mortem investigations, which you can work with. This position provides access to necropsy- and laboratory facilities, opportunities for interdisciplinary collaboration, and a direct
-
-based innovation trajectory. Job Description The post-doc will work on building decision-support tools to support strategic and real-time decision making in the organization of customization in secondary
-
Published Wednesday 16 Jul 2025 Deadline Sunday 24 Aug 2025 Work area Academic staff Organisational unit Erasmus School of Social and Behavioural Sciences (ESSB) Salary € 4.537 - € 6.209 Employment
-
partners to reduce CO2 emissions in steel production using machine learning. You can find more information here . You will work on a theoretical and an applied project on data-enhanced physical reduced order
-
postdoctoral researcher, you will use various techniques to investigate fiber-reinforced structures in nature (i.e., fungi), including additive manufacturing, computer simulations, materials testing, and
-
an interdisciplinary team focused on real-world impact appeal to you? Then this position at Wageningen University might be just for you! Function For our research line on Healthy Lifestyle through Data Science, Machine
-
, integrated with current technology, and coupled to technological use cases. In this two-year project, a postdoctoral researcher will join forces with academic and industrial consortium partners to map how
-
that can be discussed and arranged so that they allow for the best possible work-life balance; there is a strong focus on vitality and you can make use of the sports facilities available on campus for a
-
Organisation Job description Within the Department of Operations, a post-doc position is available on the topic of logistics for customization in education with self-regulation. A paradigm shift is
-
: 12 September 2025 Apply now Join the faculty of Geosciences as a postdoctoral researcher! You will work on carbon turnover models and the fusion of data science forecasting methods with process-based