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FieldPhysicsYears of Research ExperienceNone Additional Information Eligibility criteria - A PhD in mathematics/statistics/AI applied to ecological issues. - A strong publication record. - Proficiency in R and Python
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of Research ExperienceNone Additional Information Eligibility criteria PhD in life sciences. Experience in cell and cancer biology and in vivo models of cancer. Good mastery of bioinformatic tools. Experience
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new technologies related mainly to the Internet of Things, the use of large amounts of data, and the autonomy of systems due to the development of AI. The effect can be beneficial, for example by
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belongs to one of the three marine stations of Sorbonne Université. With about 120 permanent staff, the LOV generates and analyses a large quantity of marine data, including imaging, genomic, and satellite
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 19 days ago
latent spaces). Integrate dynamic, geometric, and biophysical features extracted from large MD simulations. Train and benchmark models on state-of-the-art datasets. Collaborate with PhD and Master students
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integrate the use of Large Language Models (LLMs), LLM agent, Agentic AI models and automated reasoning approaches for the interpretation of complex data, the analysis of experimental protocols, and the
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12 Dec 2025 Job Information Organisation/Company Université Savoie Mont Blanc Research Field Environmental science » Ecology Biological sciences Researcher Profile First Stage Researcher (R1
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. Activities The postdoctoral researcher will be part of a team involved in the data analysis and interpretation of two major very-high-energy gamma-ray observatories: the Large High-Altitude Air Shower Array
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semiconductor heterostructures • Perform quantum measurements at low temperature • Cosupervise PhD students on related project • Communicate results Institut Néel, is a large laboratory covering many different
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applied mathematics, physics, computer sciences or social sciences with outstanding skills in quantitative methods ; - Provable experience working with social media data, specially very large datasets (we