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for future career development in both academia and tech. Profile Required: PhD in ML, computational neuroscience, physics, engineering, or related field Strong experience in machine learning (PyTorch
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, to decipher the early mechanisms of tumor transformation. We will leverage innovative models to investigate the early stages of tumor transformationin the context of brain development. Specifically, we will use
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, optimisation of chromatographic conditions, development of a comprehensive standards database) and will perform metabolomics studies in human, cellular and animal samples. He/She will contribute
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models are deeply rooted in real-world biological data. The collaborative approach allows for the development of predictive models that bridge the gap between theory and experiment, with a focus on high
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heterogeneity, remain poorly understood in skin cancers. Our consortium has recently demonstrated that specific metabolic alterations precede the development of cutaneous squamous cell carcinoma (cSCC). Our
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epitaxial interfaces, and can be made free of nuclear spins that would interfere with the electron or hole spins. It is essential to support the development of these advanced quantum technologies with state
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for a postdoctoral researcher position in the field of auditory perception and speech development (ANR Global Speech project). The successful candidate will work under the supervision of Laurianne Cabrera
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modeling with deep learning for the analysis of hyperspectral imaging data. The researcher will be responsible for the design and development of numerical models, including neural network architectures
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9 Apr 2026 Job Information Organisation/Company UNIVERSITE ANGERS Department Human Resources - Recruitment Research Field Mathematics Researcher Profile Recognised Researcher (R2) Positions PhD
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Dynamics and Basin Evolution on the Exploration of Energy Resources and Geological Potential) of the PEPR “Subsurface, bien commun”, funded by the French National Research Agency (ANR). This project involves