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, certification, and long-term performance of next-generation wind turbine components enhanced with meta-materials. We are seeking a motivated, analytical, and ambitious researcher who is passionate about enabling
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, process optimisation is costly and unpredictable, impeding the sustainability and economic viability of fermentation-based manufacturing. To fix this, you will develop and test new methods for data
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followed by antibacterial testing and metabolomic analyses using LC-MS/MS and other analytical chemistry techniques. The PhD project is part of the research activities of the Bacterial Ecophysiology and
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: Scientific programming in Python or MATLAB Structural mechanics, reliability analysis, or probabilistic modelling Data analytics, SHM/SCADA data interpretation, or digital-twin technologies Wind energy systems
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will benefit from your analytical insight. Advanced NMR methods and computational data analysis will be compounded to accelerate the understanding of reaction pathways and improved use of desired rather
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in relevant fields and high-impact journals. The candidate should be proficient and experienced in studying ecology of fish in the wild. Analytical skills and experience with statistical software (e.g
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, Management Science, Analytics and Data Science Knowledge of and practical experiences with programming (e.g., Python, Java, Julia, etc.) You must have a two-year master's degree (120 ECTS points) or a similar
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scale in the laboratory, saving time and money. To this end, novel equipment allows testing and the collection of experimental data. To support this goal, we are looking for a colleague who is independent
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or related fields and have excellent analytical skills We are looking for experience in topics relevant to the project: quantum mechanics quantum information quantum optics quantum field theory general
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validate hypotheses concerning non-linear wave–plasma interactions using the PACE device. The research will involve carefully planned experimental campaigns on PACE, followed by detailed analytical work