Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
mechanobiology for life science applications. The PhD project will be jointly supervised by Laurent Malaquin (LAAS-CNRS) and Elise Rigot (LLA-CREATIS, Université Toulouse Jean Jaurès) as part of an original Art
-
these types is primordial: we must ensure the ciphers in use are resistant to state-of-the-art attack techniques to confidently continue using it, while before adopting a new cipher we must check its resistance
-
of fundamental biological mechanisms. It is supported by 12 state-of-the-art platforms. As a joint research unit (CEA-CNRS-UGA), the IBS is composed of 20 research groups, each of which proposes a multi
-
. The current state of the art [5] shows that there are efficient algorithms to factor the reduction L mod p ∈ 𝔽_p(x)[∂] of the operator L modulo p. A first task is to lift this algorithm into a p‑adic
-
, neurodegeneration, advanced microscopy, stem cell biology, and cell biology. The project will leverage state-of-the-art imaging facilities and established human iPSC-derived models of Alzheimer's disease. The work is
-
the state-of-the-art biophysical approaches available on our platform, including ITC microcalorimetry and grating-coupled interferometry, enabling a full characterization of the thermodynamic and kinetic
-
centres for life-science research. It offers a highly international and collaborative environment, with access to state-of-the-art facilities in imaging, proteomics, cell biology, and biophysics
-
to nanomaterials, including materials for energy, and is equipped with state-of-the-art research facilities. Embedded in an active network of industrial and academic collaborations, SIMaP provides an ideal framework
-
centre also benefits from numerous state-of-the-art technological platforms, offering access to high-calibre equipment and recognised technical expertise. The PhD thesis will be supervised by Raphaël
-
. Development and integration of state-of-the-art machine learning techniques in the analysis and event reconstruction will be a major component of this work. - Characterization of silicon detection modules using