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- and wet-lab methods. We combine cutting-edge basic science with strong ties to the clinic and aim to directly influence future clinical practice. The doctoral student project and the duties
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desired. Knowledge on statistical methods and their application is an extra merit. Good knowledge in GIS and R is a merit. Proven excellence in written and spoken English is essential. The fieldwork will
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Veterinary Virology or equivalent Solid experience in molecular biological and serological methods in virology Experience from clinical practice with ruminants, especially sheep and goats Experience from
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ecology, and/or restoration ecology. Experience in design, execution and analysis of acoustic data is desired. Knowledge on statistical methods and their application is an extra merit. Good knowledge in GIS
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will use machine learning methods to develop affinity ligands. These methods have been transformative for protein design, allowing generation of novel proteins which can suit a precise need. In this 4
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long-term, and most often global, perspectives on future renewable fuels for transport. We seek to rigorously analyse the feasibility of energy transitions, utilize empirical as well as estimated data
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with phosphine ligands and homogeneous catalysis is beneficial. Prior knowledge of organometallic chemistry is an advantage. Good practical knowledge of standard analytical methods such as NMR, MS, HPLC
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information about the program can be found at Doctoral studies at the Faculty of Medicine . Background and description of tasks The PhD student will use state-of-the-art methods such as cryo-electron tomography
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information about the program can be found at Doctoral studies at the Faculty of Medicine . Background and description of tasks The PhD student will use state-of the-art methods such as cryo-electron tomography
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ocean, and an urgent need to inform regulatory bodies about associated environmental risks. The work builds upon methods developed in our previous inter- and transdisciplinary work on shipwreck risk