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Field
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management of brain diseases. In the present project, we work of next generation AI models to extend the molecular imaging capacity of Magnetic Resonance Imaging (MRI). Building on the various contrasts
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related to modelling of the optical response of materials on the atomic scale. The successful candidate (m/f/d) will join a progressive Light and matter theory group at the Institute of Physics (FZU
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on cosmological scales and identify how existing or future probes, based on electromagnetic or gravitational wave signals, will be able to constrain these models. Activities The postdoctoral fellow will work
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(AI), mechanistic modeling, and quantitative systems pharmacology (QSP). Funded by an NIH R01, our group develops predictive frameworks that integrate advanced AI/ML methods with multiscale mechanistic
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conducting case studies on Latin lexical semantics. You will work closely with computational linguists to integrate linguistic insights into computational models and help build open-source tools and resources
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Data-driven Modelling Transportation Planning and Network Design Your profile Hold a PhD in applied mathematics or engineering Strong analytical and numerical skills Knowledge of programming, either
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degree or PhD in Computer Science, Electrical Engineering, Control Systems, or a closely related field. Experience in reachability analysis, formal verification/model checking, control theory, or related
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will contribute to the development of a new simulation-based pre-training framework for building more robust and trustworthy machine learning-based clinical prediction models. Funded by the Medical
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technology that will make it possible to publish, combine, and preserve statistical models for physics experiments and beyond, and to make them usable across programming languages (C++, Python, and Julia
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23 Oct 2025 Job Information Organisation/Company Télécom Paris Research Field Computer science » Modelling tools Researcher Profile First Stage Researcher (R1) Positions Postdoc Positions Country