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of the landscape over time. The LANDIS-II forest landscape disturbance and succession model will be used to perform simulations based on palaeoecological data. The student will collaborate with project researchers
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/researchers, 1 research engineer, 1 fixed-term researcher, and 2 PhD students) specializes in the modeling and simulation of phase transitions in materials, notably through phase-field and crystal/quasi
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specializes in computer science and, more broadly, in information and communication sciences and technologies (ICST). Its research activities are organized around several major axes: the modeling and
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of mice engaged in decision-making tasks. The PhD student will play a central role in modeling the data and transforming it into neuroscientific discoveries. In close collaboration with the experimentalists
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9 Sep 2025 Job Information Organisation/Company CNRS Department Laboratoire d'analyse et d'architecture des systèmes Research Field Engineering Computer science Mathematics Researcher Profile First
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the candidate will not be responsible for all the modeling, he/she will be expected to develop a critical mindset and a solid understanding of the generated data to actively participate in the interpretation
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Nov 2025 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The PhD
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) To develop Deep Learning algorithms to significantly speed up probabilistic inference algorithms of current spatial birth-death models 2) To incorporate fossil stratigraphic and spatial information into a new
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23 Sep 2025 Job Information Organisation/Company CNRS Department Laboratoire d'Informatique de Paris-Nord Research Field Computer science Researcher Profile First Stage Researcher (R1) Country
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interdisciplinary environment. (PhD position subject to confirmation of funding) Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR6290-KEVMAC-001/Candidater.aspx Requirements Research