Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Antwerp
- Ghent University
- Nature Careers
- KU LEUVEN
- VIB
- Vrije Universiteit Brussel
- Université Libre de Bruxelles (ULB)
- Vrije Universiteit Brussel (VUB)
- BIO BASE EUROPE PILOT PLANT VZW
- Ghent University;
- Hasselt University
- IMEC
- Univeristé Libre de Bruxelles
- Université libre de Bruxelles (ULB)
- 4 more »
- « less
-
Field
-
are highly motivated and can plan and conduct research accurately. • You can function well independently as well as in a team. • You can take initiative and have a hands-on mentality, perseverance and
-
component behaviour. 3. Extend and apply existing core loss models to novel materials, leveraging insights from the MAGNIFY network. 4. Conduct a stochastic study on how strand positioning within
-
laude level. You are interested in both Machine Learning and Symbolic/Logic-based AI methods. You strive for excellence and have a scientific mindset. You are a loyal team player, who can work
-
analysis Background in biomedicine and digital pathology What we offer Embedding within a computational team, with extensive experience in computational biology and machine learning. Embedding within
-
Saelens team. Research Project In this research project you will develop probabilistic deep-learning models that automatically extract biological and statistical knowledge from in vivo perturbational omics
-
latency advantages over traditional multiple channel access techniques in such scenarios. As a PhD candidate, you are expected to perform the following tasks: You will conduct high quality research under
-
performance. Experimental Validation: Conduct laboratory testing of fabricated PICs connected with off-the-shelf components to validate the proposed concepts. Team-based Collaboration: Work closely with experts
-
offer an innovative academic education to more than 20000 students, conduct pioneering scientific research and play an important service-providing role in society. We are one of the largest, most
-
focus on case study research, taxonomy-building and design science research, as well as to conduct interviews with relevant stakeholders - e.g., regulators, supervisors, law enforcement agencies. In
-
information about the role, please contact Prof. Radu State Your profile Strong background in AI, machine learning, or multi-agent systems, ideally with interest in financial systems, decentralized ledgers