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-source framework, enabling the systematic study of these materials. The work will involve developing tensor network numerical codes, building upon existing libraries and codes, to study general models
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network coding. The position is initially limited to four years and an extension is possible. The project already started at February 1st, 2022. Content of the project and areas of responsibility
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knowledge and skills in the following areas: Life cycle analysis (in-house training possible at the start of the contract) Digital system consumption Networks and telecommunications Audio and video coding
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communication skills Strong analytical and problem-solving skills Intermediate to advanced coding skills in R or Python The ability to collaborate effectively with a diverse team Preferred qualifications include
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development. With its state-of-the-art campus and infrastructure, this unique nascent university has woven a sound academic and research network, and its recruitment process is seeking high-quality academics
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-omic, multi-context gene regulatory networks (GRNs) from large-scale single-cell datasets. We are pioneers in GRN reconstruction from single-cell multi-omics, including: Causal GRNs from Perturb-seq
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to scientific networking on antibioresistance at the local and national scales Where to apply E-mail nicolas.galtier@umontpellier.fr Requirements Research FieldMedical sciences » EpidemiologyEducation LevelPhD
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independently as well as together with the principal investigator and other team members, if applicable, with the proposed instruments. Analyse data quantitatively (statistics) and qualitatively (coding
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learning in neural networks within the ANR-funded MAPLE project, under the supervision of Dr. Bruno Loureiro . Funding is available for two years. Responsibilities Conduct research on the mathematical
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solutions and have the opporutnity to contribute to world-class research, we encourage you to apply! Opporuntities to Contribute Develops dynamic river-lake network models to track the geochemical and