142 phd-in-architecture-landscape-built-environment Postdoctoral positions at CNRS in France
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. You will work in a stimulating scientific environment, making use of state-of-the-art instrumentation. You will use both mass spectrometry technologies developed within the laboratory (notably laser
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pioneering method for obtaining the full conformational landscapes of biomolecular complexes at atomic scale from cryo electron microscopy (cryo-EM) images. It has been shown that MDSPACE analyzes
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-rich environments. The candidate will participate in field sampling, species identification, and laboratory cultivation of nematodes from extreme habitats. The candidate will also take part in molecular
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devices, combining ferroelectricity and spintronics, with strong potential for disruptive logic-in-memory computing architectures. The candidate will carry out experimental work covering the full device
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structures, spectra) within foundation models. The postdoctoral researcher will design innovative "tokenization" strategies to integrate these non-linguistic data types into Transformer-based architectures
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school, 1-2 workshops, 2 research pairs, and other parallel activities such as masterclasses, conferences at FRUMAM, etc.). It is organized alongside an environment program that invites collaborators, PhD
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not yet succeeded in reaching the fundamental quantum state of a levitated nanoparticle. During this project, the candidate will experimentally implement a new optical levitation architecture to achieve
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implement and train neural network architectures, including Physics-Informed Neural Networks (PINNs), in order to integrate physical constraints into the learning process and improve the identification and
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Required - PhD in plant ecology, spatial ecology, landscape ecology, vegetation science, or related fields - fluent in written and spoken English - demonstrated facility with spatial and statistical analyses
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complete pollen analysis on target sites • Reconstruct the history of plant composition and abundance. The candidate will produce maps of regional landscape openness and types of forest cover over the last