31 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Dr" research jobs in Belgium
Sort by
Refine Your Search
-
academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
-
diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
-
data. Your profile We are looking for a motivated researcher at the PhD student level. This theory project will comprise both analytical calculations as well as numerical simulations of classical spin
-
the online application process? Please read the FAQ or contact us via selecties@ugent.be . Where to apply Website https://academicpositions.com/ad/ghent-university/2026/researcher-ai-data-scien
-
, data acquisition, Ethernet based field buses, machine vision, AI, C / C++, software development, advanced Imaging, spin off. The Mechanical Engineering department of the VUB is looking for a PostDoc
-
Experience4 - 10 Research FieldEngineeringYears of Research Experience4 - 10 Research FieldEngineeringYears of Research Experience4 - 10 Additional Information Website for additional job details https
-
diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
-
academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
-
information The postdoctoral mandate is a personal mandate lasting three years and aims to support researchers who have either recently obtained a doctoral degree (junior) or have held one for some time (senior
-
at unprecedented resolution. The core innovation of your work will be integrating this data to train deep learning models that predict chromatin accessibility and gene expression patterns. These models will