Sort by
Refine Your Search
-
Category
-
Field
-
with the intrinsic instability of lean combustion processes and, where aircraft engines are concerned, combustion-related sound generation. Motivated by these challenges, the PhD thesis, which is part of
-
Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description This PhD work is a part of the ALPS-Water project (ANR-24-CE08
-
condense low volatility signalling compounds, thus reducing their concentration in the gas phase. How living systems respond to this process is highly uncertain, and whether sensors are adapted to detect
-
, IBDM employs around 220 permanent researchers, lecturers, engineers and technicians, as well as non-permanent staff on fixed-term contracts, post-docs, PhD students and trainees, spread across 21
-
, or physics. • Background: knowledge in electronics, signal processing, bioelectromagnetics, numerical modelling. Experience with commercial or open-source numerical solvers (e.g., CST, Ansys, SIM4LIFE
-
analysis of unconventional integro-differential equations, and related stochastic processes, from evolutionary biology. The PhD student will also interact with other members of the ERC project. The thesis
-
through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description We are proposing a PhD thesis (3 years
-
knowledge of the synthesis and characterization of materials. Signal processing skills are appreciated, but not mandatory. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR8520-YANCOF-019
-
; Signal Processing; Automatic Control; Applied Mathematics. Expected skills: - Proficiency in scientific computing software for algorithm prototyping: Python, Julia, Matlab, etc. - Mastery of computer tools
-
of Research ExperienceNone Additional Information Eligibility criteria The applicant should have a PhD in astrophysics or an equivalent qualification (e.g., in signal processing and machine learning). Skills in