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Biology, Pharmacy, Toxicology, or a related field. Experience in molecular and cell biology techniques, including mammalian cell culture and molecular cloning. A critical, analytical mindset and a drive for
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to work at the frontier of agricultural science and data-driven innovation. The successful candidate will have the opportunity to co-design the focus of this research project. Potential areas
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related field of study • Interest in energy technology and energy economics • Experience in energy system modelling is an advantage • Basic programming skills, ideally in Python • Independent and analytical
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mutualistic and antagonistic insect flower visitors in the greenhouse and in the field. Analyse complex data sets involving e.g. metabarcode sequencing Chemical analysis of flower nectar using HPLC and GC-MS
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. Previous experience with next-generation sequencing data, deep learning or RNA biology are advantages, but not required. capacity for analytical and creative thinking initiative independence ability
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statistical methods for modelling and data treatment engage in teaching, innovation and advisory activities in relation to food technology, food chemistry, and food nutrition in a broad sense. Teaching
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to work in. Research groups: Computational Neurosciences Computer Graphics and Ecological Informatics Computer Networks Computer Security Databases and Information Systems Data Fusion Data Science
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students at Umeå University. For more information about our doctoral education see: Research-with-us/doctoral-studies/ The place of employment is Umeå and teaching takes place on campus. We value commitment
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health management (IVHM) system that leads to enhance safety, reliability, maintainability and readiness. Generally, prognostics models can be broadly categorised into experience-based models, data-driven
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, western blotting, qPCR is an asset. You can work both independently as well as in a multidisciplinary team. You have strong analytical skills and an appropriate problem solving attitude. Since your