Sort by
Refine Your Search
-
Category
-
Country
-
Field
-
strong interest in computer science (software development, machine learning techniques, etc.) is desirable. · Applicants must have a maximum of 3 years of research experience after the PhD. · Language
-
climatic conditions, using machine learning approaches based on isotopic data. SSIAs for δ13C, δ15N and δ34S in dentin collagen and δ66Zn in enamel to reconstruct the evolution of seasonal habitats and the
-
13 Mar 2025 Job Information Organisation/Company CNRS Department Institut de Biologie du Développement de Marseille Research Field Biological sciences Biological sciences » Biology Researcher
-
Technologies du Langage) department. This team specializes in machine learning methods applied to language processing and has extensive experience and international recognition in speech technologies. Where
-
the field of algorithm configuration and selection in a streaming fashion by investigating techniques that continuously optimize machine learning models as new data instances arrive [2]. A key focus will be
-
analysis and data processing. Strong programming skills in R (preferable) and/or Python, and experience or interest in weather prediction or climate models. Knowledge of machine learning, AI techniques, and
-
-I) for the NASA HWO project. Additionally, you will benefit from the support of the Machine Learning “Centre de données Astrophysiques de Marseille” (CeSAM). The Laboratoire d'Astrophysique de
-
organized in four poles: “Computer Mathematics”, “Data Analytics and Machine Learning”, “Efficient and Secure Communications”, “Modeling, Simulation and Learning” and “Proofs and Algorithms”. The Ph.D
-
government background checks (allow for between 4 to 8 weeks) and complete any other CSIRO requirements. Selection criteria To be eligible applicants must: Have a basic understanding of machine learning
-
(FL) is a promising paradigm that is gaining grip in the context of privacy-preserving machine learning for edge computing systems [1]. Thanks to FL, several data owners called clients (e.g