Sort by
Refine Your Search
-
10 Sep 2025 Job Information Organisation/Company CNRS Department Laboratoire d'informatique en image et systèmes d'information Research Field Engineering Computer science Mathematics Researcher
-
be done via computer simulations, including Monte Carlo and molecular dynamics, combined with the use of statistical mechanics to predict e.g. phase transitions, nucleation rates, etc. The work will be
-
wide spectrum of topics in CNU sections 27 "Computer Science" and 61 "Computer Engineering, Automation and Signal Processing". The laboratory is located at the heart of the Sophia Antipolis technology
-
mechanical structures, systems, and processes. Our areas of activity are in line with those of the mechanical engineering industry, with a particular focus on projects in the fields of aeronautics, space
-
sometimes struggle to effectively sustain patients' learning throughout their rehabilitation journey and may not adapt to the evolution of their abilities. Rehabilitation is a complex process that requires
-
on the University of Toulouse science campus, easily accessible by public transport, car, or bicycle. The CBI offers research teams an excellent international scientific and technological environment with innovative
-
influence helps detect labeling errors or prioritize unlabeled images, optimizing the learning algorithm and service quality. The doctoral student will carry out their work at IMAG (UMR of Mathematics) and
-
, engineering, bioinformatics, machine learning, artificial intelligence) to support minimally invasive and targeted preventive and predictive medicine capable of limiting age-related functional disorders
-
will explore if learning and memory paradigms trigger the recruitment of RNAs to specific synaptic compartments. Second, the student will study the cellular machineries involved in local RNA recruitment
-
published openly in the form of process flowsheet databases. Skills: Machine Learning/Deep Learning skills are essential, as well as programming proficiency, as well as some knowledge of energy or process