Soutenance de thèse de Loïc Ongena
La thèse est intitulée : « Hijacking of alternative splicing regulatory networks by FET fusion oncoproteins ».
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One of the missions of the Faculty of Science is to prepare students to become self-reliant scientists imbued with the critical thinking and adaptability necessary to meet tomorrow's technological challenges.
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Although it satisfies the intellectual need and curiosity of the scientist, science is open to the world. In the service of men and women, it is closely linked to all aspects of human life.
Le jeudi 23 avril 2026, Séverine CHEVALIER présentera l'examen en vue de l’obtention du grade académique de Docteur en Sciences (Collège de doctorat en Océanographie) sous la direction de Marilaure GREGOIRE et Karline SOETAERT (Cotutelle avec l’Universiteit Gent).
Cette épreuve consistera en la défense publique d’une dissertation intitulée :
« Mapping benthic traits over the northwestern shelf of the Black Sea: a trait-based modelling approach ».
ID de réunion : 813 2512 3717
Code secret : 094271
Le Jury sera composé de :
Mme U. BRAECKMAN (UGent) (Présidente), Mmes et MM. S. ARNDT (ULB), O. BEAUCHARD (NIOZ, Pays-Bas), M. GREGOIRE (Promotrice), K. SOETAERT (UGent) (Promotrice), M. SOLAN (University of Southampton), A. TEACA (GeoEcoMar, Roumanie), A. VANREUSEL (UGent), H. YU (Secrétaire).
The biological communities found at the bottom of the sea, the macrobenthos, play a critical role in marine ecosystems by influencing biogeochemical cycles and ecosystem functioning. Therefore, the macrobenthos is a primary target for biodiversity conservation. Despite the availability of databases compiling millions of species records, benthic biodiversity remains poorly mapped at a larger scale, which hinders the establishment of Marine Protected Areas. This PhD thesis addresses this critical gap by developing predictive modelling tools capable of mapping macrobenthos characteristics at the shelf scale. This study takes a functional approach to biodiversity, defining living communities by their traits (e.g. mobility, burrow type). The methodology was developed for the northwestern shelf of the Black Sea. Trait distribution models were developed to link benthic traits and their “niche” (the environmental conditions to which they are suited) and to predict their spatial distribution using maps of environmental conditions provided by an ocean model. These maps of benthic traits can serve as ecological indicators for assessing ecosystem health and can be useful for conservation policy.
La thèse est intitulée : « Hijacking of alternative splicing regulatory networks by FET fusion oncoproteins ».