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will play a key role in strengthening and expanding the group’s computational capabilities for the simulation, analysis, and optimization of advanced thermal energy systems and processes. This includes
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doctoral research, supported by rigorous scientific supervision. The team hosting the PhD candidate is internationally recognized for its expertise in materials science and process engineering, particularly
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for supply chain and marketing optimization. The project will integrate machine learning, deep learning, foundation models, and interpretable AI approaches, ensuring scalability, robustness, and industrial
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Your Job: Literature research and process understanding of higher alcohol synthesis Catalyst preparation, characterization, and performance testing Reaction parameter optimization (temperature
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: https://remik24-web.github.io/QT-website/ The candidates are welcome to inquire about the project details, research agenda and organizational issues. The questions should be sent by email to R. Augusiak
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the optimal reaction conditions. Heterogeneous catalysis will be coupled with mecanochemistry to enhance the reactivity of the cellulose. This Phd will be shared between IC2MP in Poitiers (especially working
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of the newly discovered enantioselective reactions for the synthesis of medicinally relevant compounds. In this context, recently we have optimized the enantioselective heterodimerization of 1,3-dienes and
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model organisms in their work and are pushing into emerging model and non-model organisms that are proving uniquely valuable in particular studies. To learn more about our department, https
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porous materials using green supercritical fluid technologies. The position (TV‑L E13) offers the opportunity to pursue a PhD, access to state‑of‑the‑art research infrastructure, and close collaboration
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Basse Normandie. PHD title: Doctorat de Physique PHD Country: France Where to apply Website https://www.abg.asso.fr/fr/candidatOffres/show/id_offre/137565 Requirements Specific Requirements Applicant