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Strong publication record A keen and documented interest in the research agenda of the project Experience with analysis of longitudinal data and related data management Proficiency in using Stata and/or R
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decision support systems, validated against field measurements. The doctoral studies will be performed at the Department of Forest Ecology and Management at SLU in Umeå. The PhD student will have a permanent
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samples from ca 10 individuals of each sex common garden populations of these, and are now extracting these samples. The researcher will work in a collaborative lab performing analyses of gene expression
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maintenance. However, current technologies are relatively slow and not capable enough to provide quick performance, diagnostic and prognostic predictions for real time applications. With the rapid development
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comprehensive back-office resources help manage day-to-day complexities while our investment in your venture ensures you have the means to scale quickly and capture market opportunities. Enhanced Commercial
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industry. We expect you to be able to handle and have an interest in experimental laboratory and formulation work. Experience with coatings may be an advantage. You are high performing, visionary and thrive
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on Artificial Intelligence (AI), Deep Reinforcement Learning (DRL), and Predictive Maintenance for optimizing wind turbine performance and reliability. This research will develop an AI-powered wind turbine
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. We offer a temporary contract for 18 months which will be extended for the duration of the project if you perform well. Wageningen University & Research offers plenty of opportunities for growth and
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laboratory environment performing basic laboratory techniques, research and analysis under direction. Provides routine or standardized laboratory duties by collecting data in support of research projects under
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to probe metabolic states and function of control mechanisms. Analysis of strain performance and control mechanisms using computational tools (e.g., flux balance analysis, kinetic models, network component