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new thermoelectric materials using data science and machine learning methods applied to materials, based on expert-reviewed experimental data from the literature and public databases (notably
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opportunities for machine learning to address outstanding biological questions. The PhD (M/F), to be recruited in the context of the ERC StG MULTI-viewCELL, will be working on the development of a new method
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to turbulence remain poorly understood. The funded PhD project will focus on understanding how pulsatile forcing and geometrical perturbations (e.g. curvature and branching) influence flow stability, transition
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-solar@cnrs.fr roberto.oberti@unimi.it How to apply? All information are provided here Deadline: 15th April 2026 Where to apply Website https://www.eu4greenfielddata.eu/phd-positions-application/list
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13 Jan 2026 Job Information Organisation/Company CNRS Research Field Biological sciences » Biology Neurosciences » Neurobiology Researcher Profile First Stage Researcher (R1) Positions PhD Positions
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of natural language texts. This PhD position aims at investigating new computational methods to reduce distortions in science communication. The envisioned methodology will focus on Argument Mining with a
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for method validation are limited. Moreover, clinical applications of these approaches in oncology are still in their early stages. This PhD project aims to characterize the cellular niches associated with
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an average of twenty members, including eight permanent researchers. The PhD student will be supervised by Lucile Anthore-Dalion, a researcher specializing in synthetic methodology. The project will build upon
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methodical, rigorous, reactive, and attentive, with a strong work ethic and high integrity. He/she will already have experience with human stem cells, neuronal differentiation, as well as 3D culture, organoids
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Feb 2026 Is the job funded through the EU Research Framework Programme? Horizon Europe - ERC Is the Job related to staff position within a Research Infrastructure? No Offer Description The PhD student