Sort by
Refine Your Search
-
innovative methods for processing and analyzing 7Tesla MRI images of different modalities and formats (NIFTI, DICOM, etc.) using machine learning and artificial intelligence techniques. These methods will be
-
perception with a comparative, cross-species (animal – human) component. The selected candidate will establish a non-human primate (NHP) model of scalp EEG signals related to perception, compare it to human
-
FieldPhysics » AcousticsYears of Research Experience1 - 4 Additional Information Eligibility criteria - PhD thesis in acoustics, mechanics - Skills in structural acoustics, signal processing, antenna processing
-
developed for GaAs-based heterostructures, to the new germanium-based material system. His/her work will include the fabrication of quantum point contacts, quantum dots, and quantum interferometers as
-
here is the prediction of the composition of communities of marine entities (zooplankton, marine snow particles, and coral reef fishes) from environmental data taken around the point of the biological
-
, Division and Morphogenesis team, the candidate will work closely with biologists and physicists to develop approaches integrating spatial transcriptomics, cell dynamics, and systemic signals to understand
-
. The Laboratory for Computer Science, Signals and Systems at Sophia Antipolis (i3S), set up in 1989, conducts research in computer science. With a staff of nearly 300, including professors and researchers from
-
involved during capillary debinding through the use of specimens and model tests • Understand the influence of processing parameters on debinding mechanisms and kinetics • Determine the influence of
-
Description Conduct a part of the ANR MetaTime (setting-up experiments, acquisition and processing of data, writing scientific reports) • Perform a review of the existing litterature on the topics • Acquire
-
focuses on the transfer of ionic and electronic charges at the interface of materials, which are the cause of many limitations and degradation processes in batteries. The goal is to characterize the state