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of complex behaviours such as void formation and brittleness. In parallel, you will explore formulation and processing strategies to improve toughness, reduce embodied energy and eliminate the need for cold
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develop a digital twin of the PFA cure process, combining mechanistic modelling with neural‑network‑based prediction of complex behaviours such as void formation and brittleness. In parallel, you will
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between chemistry and biochemistry. It is structured around two parallel PhD projects: one in chemistry (the position offered) and one in biochemistry, supervised by partner research team. This organization
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) institute, Grenoble. The process parameters will be calibrated on the experimental ones obtained at Institut Jean Lamour (IJL), Nancy. The thesis results will allow to calibrate simulations at the meso- and
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metallurgy to produce high‑performance materials through Spark Plasma Sintering (SPS). This process is based on the simultaneous application of high pressure and an electric current through a graphite die
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technologies for clays rely on high-temperature roasting followed by aggressive acid leaching, processes that are energy-intensive, generate substantial chemical waste, and produce significant carbon emissions
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in areas including life cycle assessment, farm systems modelling, economic analysis, and sustainability assessment. In parallel, the candidate will undertake professional development activities
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efficiency Optical neuromorphic computing is emerging as a promising alternative to classical electronic architectures, offering advantages in terms of speed, energy consumption, and parallelism. Nonlinear
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processes at the Large Hadron Collider, such as forward particle production in proton–nucleus collisions. A dedicated numerical framework will be developed to confront theoretical predictions with
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Your Job: Healthy brain function relies on dynamic changes at the synapse. The relevant synaptic turnover and plasticity processes span spatial scales from the molecular up to the network level, and