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the pyramids and creating digital object models with numerical simulations, for example, using Salvus software or similar. - Publication of research results and presentation of results at scientific conferences
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, issue tracking). Strong interest in academic research and willingness to pursue a PhD. Independent, structured way of working, quick comprehension, and ability to adapt to new concepts. Excellent
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strong interest in research. A proven track record of scientific work, such as prior publications, is beneficial. We particularly value a solid theoretical foundation in 𝗺𝗮𝗰𝗵𝗶𝗻𝗲 𝗹𝗲𝗮𝗿𝗻𝗶𝗻𝗴
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to have experience in one or more of the following areas: Machine Learning & Bayesian optimization (Python, Supervised learning, Multi-objective optimization) Additive manufacturing of metals Corrosion
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at Hydrumedical using in house developed flow-through system. The objectives of this work are: i) to unveil the driving force of the micro-galvanic corrosion onset; ii) propose several approaches to reduce the
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project. The objectives of this work are to optimize an experimental setup for simultaneous tension/compression testing and localized corrosion measurements, including monitoring of local pH and dissolved
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their role and behaviour in (deep-)earth processes. Experiments using diamond anvil cells to probe the physical properties of minerals at high pressures with the objective of understanding the structure and
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at combating implant-associated infections. Objectives: This PhD project aims to develop innovative hydrogel-based bacteriophage formulations to effectively combat oral biofilms on metallic implant surfaces in
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of Excellence RESOLV The RESOLV integrated Graduate School Solvation Science (iGSS) seeks to attract highly motivated students with a top level Master’s degree (iGSS Track I) or with a top-level Bachelor’s degree
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should hold a M.Sc. in chemistry, physics, material sciences or related disciplines. To join our interdisciplinary team, we are looking for creative, enthusiastic students with a solid scientific track