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successful candidate should have practical experience with metabarcoding of aquatic samples, experience in DNA extraction from challenging samples and PCR optimization. Further, the candidate should possess a
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KAU whose mission is to optimize the circularity of bioeconomy); contribute to teaching and education in degree programs and to develop your own pedagogical competence; contribute to the ongoing
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factor – DNA binding, detecting protein – protein interactions or enzyme optimization. Main responsibilities The candidate will use and develop methods within one, or preferably multiple, of the following
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urban catchments. Develop road designs that optimize water accumulation or flow. Create a framework for the selection and design of climate-adapted roads. The research will primarily involve hydrological
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authentication and usable security (e.g., biometrics, CAPTCHA); Privacy (e.g., information inference); Intersection between regulatory and technical aspects (EU NIS-2 Directive), e.g., compliance optimization and
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to test various adjustments in the indoor diet in order to alleviate metabolic challenges during transition to pasture. The aim is to optimize pasture utilisation and milk production in part-time
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on how your research can be further developed into innovations. You are interested in driving the integration of methods in artificial intelligence (AI) and machine learning (ML) to improve and optimize
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of AI cause structural change and how it may influence the optimal design of social support systems. The programme currently includes 12 senior researchers and will also include three PhD students and
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propagation problems, stochastic partial differential equations, geometric numerical integration, optimization, biomathematics, biostatistics, spatial modeling, Bayesian inference, high-dimensional data, large
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for tens of kilometers length. In this project, you as a postdoctoral researcher will mainly carry out: optimization of both fiber preform preparation and fiber drawing processes so as to reliably fabricate