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Field
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be Dr. Ivan Balog (balog@ifs.hr ). The research topic will be "Effects of Disorder and Interactions in Relativistic Fermion Systems," with a focus on developing theoretical and numerical methods
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theoretical modeling, numerical simulation, and experimental validation. Key objectives can include: Developing theoretical and computational models for friction-induced damping in joints and interfaces
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scale-up - Physicochemical characterization of the encapsulation matrices - Evaluation of the method on the vaccines' biophysical attributes - Interaction with national and international partners - Data
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Completed university studies (Master) in Chemistry or related field Experience in metal-organic syntheses Experience in working with glove boxes and Schlenk methods Experience in X-ray diffraction techniques
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methods. Depending on the strengths and interests of the PhD candidates, the PhD project will focus on some of the following aspects: The quantification of the fundamental physical and kinetic differences
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candidate will possess a strong theoretical and practical understanding of error correction, information theory, and quantum information theory. In addition, a solid background in the mathematical methods and
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Primary Supervisor -Prof Michal Mackiewicz Scientific background Marine litter is a key threat to the oceans health and the livelihoods. Hence, new scalable automated methods to collect and analyse
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spectroscopic methods suitable for large-scale sample screening and eventual field deployment. The project will also involve developing your skills in data science, including multivariate analysis, machine
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calculation of wave propagation phenomena (e.g. acoustics, earthquake waves, structural dynamics) Development of numerical methods for structural mechanics (beams and shells) Interaction of CAD and simulation
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equity between population groups. To address these questions, the researcher will be able to apply advanced health economic methods and make use of valuable datasets that longitudinally track Belgian