103 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "Ulster University" research jobs in Belgium
Sort by
Refine Your Search
-
Listed
-
Program
-
Employer
- Ghent University
- Nature Careers
- University of Antwerp
- VIB
- KU LEUVEN
- Vrije Universiteit Brussel
- Vrije Universiteit Brussel (VUB)
- KU Leuven
- Université catholique de Louvain
- Flanders Institute for Biotechnology
- IMEC
- Universiteit Antwerpen
- University of Louvain (Louvain-la-Neuve)
- Université Catholique de Louvain (UCL)
- Université catholique de Louvain (UCL)
- Vlaams Instituut voor de Zee
- Vrije Universiteit Brussel;
- 7 more »
- « less
-
Field
-
synthetic biology context (check our website at https://csb-bioport.mystrikingly.com/ and www.csb.ugent.be ). You will conduct research on aquaglyceroporin engineering and on the FWO-WEAVE project “Study and
-
interdisciplinary work at the interface between neurodegeneration, modeling, screening and machine learning Prior experience in iPSC modelling and CRISPR tools Our Offer A stimulating, international
-
, for their analysis and optimization, we use tools such as artificial intelligence/machine learning, graph theory and graph-signal processing, and convex/non-convex optimization. Furthermore, our activities
-
, or a closely related field Strong programming skills, e.g., Python, and familiarity with machine learning and/or software engineering workflows; experience with Git and empirical evaluation Experience
-
@ugent.be . Where to apply Website https://academicpositions.com/ad/ghent-university/2026/post-doctoral-assistant-… Requirements Research FieldBiological sciencesYears of Research Experience4 - 10 Research
-
question regarding 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/postdoctoral
-
Science and Technology Country Belgium City Louvain-la-Neuve Postal Code 1348 Street Croix du Sud 4 Where to apply E-mail henri.batoko@uclouvain.be Contact City Louvain-la-Neuve Website https://uclouvain.be
-
simulations, machine-learned force fields, and artificial intelligence (AI). The successful candidate will lead the development of a computational platform that unifies first-principles methods, classical
-
publications and present them at well-known international conferences and workshops. Your profile M.Sc./M.Eng. Degree in telecommunication engineering, signal processing, machine learning or a closely related
-
terrestrial networks, non-terrestrial network entanglement distribution. Your profile PhD degree in wireless communications, signal processing, machine/deep learning or a closely related field in Electrical and