Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
uncooperative spacecraft . Develop novel methods for characterization and quantification of input-output bounds in an AI-augmented perception system: Develop novel methodologies and tools for characterizing and
-
/RFSoC boards, generating synthetic training datasets and extracting robust features for SIGINT and spectrum‑monitoring pipelines Develop and integrate TDOA/FDOA‑based geolocation methods into RF
-
logic that form the core of the REINFUSE product-information backbone. This role combines: Research: designing, evaluating, and refining methods for multimodal product-data extraction, enrichment, and
-
is led by Professor Lisa Suckert. Based on a comparative mixed-method analysis of five European countries REIMAGINE explores how economic imagination fuels conflicts, frictions and impasses
-
governance mechanisms and stakeholder behaviour in regional adaptation strategies using hybrid mixed-method approaches (qualitative and quantitative). Design and evaluate responsive, inclusive, and evidence
-
. K. Marchal and Prof. T. Demeester. The group’ s research focus is on bioinformatics method development by combining advanced AI with biological principles http://www.ugent.be/ea/idlab/en/members
-
innovative bioinformatics methods to address biological questions through the integration of molecular data You will assist in teaching activities at the Bachelor’s or Master’s level. More specifically, you
-
protein engineering using a combination of computational methods (AI-based and structure-based) and experimental methods (e.g. design and construction of mutant libraries via error-prone or assembly PCR
-
procedures. In a next step of the project, historians will examine to which extent the results obtained by AI challenges existing methods used in historical sciences. Five complementary techniques (µ-Raman, UV
-
Actuarial Sciences (ISBA) of the UCLouvain is seeking a talented post-doctoral researcher to join us to develop methods for learning extremal dependence based on X-vines, with special attention for aspects