Sort by
Refine Your Search
-
functions such as memory and object recognition, as well as consciousness and mental states. This research has several distinctive features: it employs a parallel approach involving human and non-human
-
computational perspective, this requires solving billions of systems of ordinary differential equations in parallel on adaptively refined meshes, while performing interpolation and tensor operations
-
a semi-industrial facility. In parallel, this PhD research will focus on investigating and optimising the process for removing arsenic from effluent, including through flocculation. Consequently
-
demodulation techniques, and the development of signal-processing methods adapted to new sensing applications. The postdoctoral researcher will work within a multidisciplinary team combining
-
language processing. Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UMR8554-YAILAK-003/Default.aspx Requirements Research Field Language sciences Education Level PhD or equivalent Research
-
component, notably through the production and dissemination of a film presenting the project. Supervision Prof. Radouane EL YAGOUBI – Neuroscience, CLLE Laboratory Dr Amel AISSAOUI – Signal Processing
-
activities, data processing, analysis, and interpretation. 3) Developing innovative methodologies to improve the understanding of sediment dynamics. 4) Co-supervising the recruited study engineer within
-
spectral matching functionalities, and downstream statistical and pathway analysis. The successful candidate will handle and processing of LC-MS data generated by the Team: • chemical data flows • data pre
-
Research Field Astronomy Years of Research Experience None Additional Information Eligibility criteria Applicants must hold a PhD in astrophysics, radio astronomy, signal processing, statistics
-
molecular mixtures, including information retrieval, random access, approximate search, querying and filtering, encryption, compression, and many other information-processing tasks. Our team is looking for