Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Ghent University
- Nature Careers
- University of Antwerp
- VIB
- KU LEUVEN
- Vrije Universiteit Brussel
- KU Leuven
- Université catholique de Louvain
- Flanders Institute for Biotechnology
- University of Louvain (Louvain-la-Neuve)
- Université de Namur
- Université libre de Bruxelles - CeSCuP
- Vrije Universiteit Brussel (VUB)
- 3 more »
- « less
-
Field
-
of the ERC consolidator project “B-yond” financed by the Horizon Europe programme (https://cordis.europa.eu/project/id/101044649 ), a postdoc position is available in the Reactivity, Catalysis and
-
player and great collaborator Strong interest in interdisciplinary work at the interface between neurodegeneration, modeling, screening and machine learning Prior experience in iPSC modelling and CRISPR
-
are looking for a motivated researcher with: • A PhD in Social, Political, or Environmental Psychology • A strong publication record in relevant areas • Expertise in intergroup relations and/or social identity
-
representation learning. You have strong programming skills, especially in Python, and preferably experience with PyTorch. You have a track record of publishing in top image processing / computer vision journals
-
the research team in the area of Swarm Intelligence, Reinforcement Learning and Optimization Techniques. As a Postdoctoral researcher, you will: Lead cutting edge research in Swarm Intelligence and Machine
-
Mentor and Advise PhD thesis within the research group. Current topics include, reinforcement learning for tactile-aware manipulation skills, tactile sensing, mechanical intelligence for grasping, and
-
duration → Term of assignment: 1 jaar, verlengbaar met 1 jaar → Wage scale: PD1 to PD4 (doctoral degree) → Required diploma: PhD ABOUT GHENT UNIVERSITY Ghent University is a world of its own. Employing
-
-guided machine learning. You are quick to assimilate information and capable of independent research. Experience in the pharmaceutical sector is an advantage You speak and write English fluently. You are
-
systems, with a focus on 3GPP compliant 5G/6G NR NTN OFDM waveforms Develop and analyse signal processing and/or machine learning algorithms for joint channel, delay, Doppler and carrier phase estimation
-
wireless communications, RF signal processing, and/or applied machine learning Strong background in digital communications and RF signal processing, ideally with experience in SATCOM, NTNs, or space-borne