Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
, 180 PhD students and 40 fixed-term contract staff. The research work will be carried out within the D2-FTC department, Fluids, Thermal and Combustion, which corresponds to a continuum ranging from fluid
-
with the University of Poitiers and ISAE-ENSMA (partners). It has around 600 staff: 200 EC, 40 researchers, 100 IT, 180 PhD students and 40 fixed-term contract staff. The research work will be carried
-
RESEARCHER (M/F) with the ANR MIJMA (International Migration of Young Africans and Minors to Europe.
of scienceYears of Research ExperienceNone Additional Information Eligibility criteria to candidates holding a PhD in sociology, anthropology and/or political science. In terms of methodology, a command of the
-
address domain-specific challenges in biomedical applications. The PhD project will focus on translating and enhancing cutting-edge algorithms from AI research into concrete applications in biomedical
-
research in Artificial Intelligence and its ethical, frugal, and sustainable dimensions? Do you have a PhD and a solid experience in research or R&D in AI, with a specific interest in designing models
-
will benefit from access to the various platforms of the laboratory. He/she will work in collaboration with the BioFab axis (teachers-researchers, PhD students, trainees of the team) and the INSERM U1193
-
ICT Services & Applications. Your role The PhD position is part of the CART-4D project, a "Made in Luxembourg" collaboration between the University of Luxembourg and ARSPECTRA . The doctoral candidate
-
role We are seeking a highly motivated PhD student to perform fundamental research and to conceive truly sparse solutions (on both, CPU and GPU) for dynamic sparse training, aiming to cut the training
-
Experience1 - 4 Additional Information Eligibility criteria Candidates must hold a PhD in condensed matter physics and have a proven track record in research, demonstrated by at least one publication as first
-
role We are seeking a highly motivated PhD candidate to join the IAS Audacity project AI4TECS, which investigates how advanced AI techniques can enable real‑time identification and treatment of emerging