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with a PhD in microbiology, molecular microbiology, bioengineering, synthetic biology, or a related discipline. The successful candidate should demonstrate: ▪ A strong research track record, evidenced by
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research program in Artificial Intelligence (AI) and Mathematics. This position involves applying machine learning tools, particularly reinforcement learning (RL), to address complex research-level
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of engineered processes. Selected candidates will be aligned with a specific research project, where the specific technical learning objectives vary. They could include a learning variety of experimental
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includes system-level analysis of engineered processes. Selected candidates will be aligned with a specific research project, where the specific technical learning objectives vary. They could include a
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publications, conference presentations, and the supervision of junior researchers. Job requirements PhD in physics, biomedical engineering, electrical engineering, medical physics, or a closely related field
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to students of diverse profiles (from BSc through MSc to PhD level), both nationally and internationally. In addition to product-oriented research, which examines chemical, microbiological, physicochemical and
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Postdoctoral Research Associate in Electrochemical Engineering who has: A PhD degree (or near completion) in Chemical Engineering, Electrochemical Engineering, Mechanical Engineering, Materials Science
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description Work on EU projects to develop next‑generation transport, emission and health forecasting models by integrating deep learning, xAI, and diverse data sources such as traffic sensors, smart‑card data
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-based composites using melt electrowriting printing, support for PhD students working with 3D extrusion-based and 3D liquid-in-liquid printing, testing of MOFs for dissolved CO2 capture, investigation
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Postdoctoral Research Associate in Electrochemical Engineering who has: A PhD degree (or near completion) in Chemical Engineering, Electrochemical Engineering, Mechanical Engineering, Materials Science