Publisher
source

CNRS

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M2 Internship in Modelling Lake Phytoplankton Response to Temperature Variations CNRS in France

Degree Level

Master's

Field of study

Computer Science

Funding

Available

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Country

France

University

CNRS

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Keywords

Computer Science
Ecology
Environmental Science
Biology
Mathematics
Artificial Neural Network

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About this position

M2 internship offer in modelling the response of lake phytoplankton to temperature variations using a hybrid approach that couples a mechanistic model with neural networks.

This opportunity is shared by Télesphore Sime-Ngando, Directeur de Recherche Classe Exceptionnelle at CNRS. The project sits at the intersection of Biology, Environmental Science, Computer Science, and Mathematics, with a strong focus on ecological modelling, lake systems, and data-driven/physics-informed methods.

It is explicitly an M2 internship (master’s level), so it is suitable for students seeking a research placement rather than a PhD or postdoctoral position. The post does not mention funding details, stipend, deadline, or a direct application portal in the visible text.

Interested candidates should review the attached internship offer for the full project description and application instructions.

Funding details

Available

What's required

M2 level internship candidate interested in modelling, with an ability to work on a hybrid approach combining a mechanistic model and neural networks. The post implies a master's-level student (M2) and a research interest in lake phytoplankton and temperature-driven dynamics.

How to apply

Open the attached internship offer and follow the application instructions provided in the document. No direct application portal is visible in the post text.

More information can be found here

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