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and as part of a team Understanding of dynamical systems, time series models, machine learning, Bayesian statistics, experience in handling environmental and climate data is a merit We offer: This
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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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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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possible in individual projects. The priority objectives are: 1. The provision of a modern, high quality professional training, which will furnish students with above-average qualifications for
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Research Framework Programme? Other EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description ABOUT THE PROJECT OBJECTIVES | https://www.quriousclocks.eu
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: This PhD thesis project is integrated into the EURECA consortium. The overarching objective of EURECA - The European Epitranscriptomics of Cancer Academy-, is to train young doctoral candidates