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Field
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(Research Assistant) or PhD degree (Research Associate) in computer science or a related area or equivalent experience. Familiarity with standard machine learning libraries/data analysis, specifically as
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provide a dynamic environment which empowers excellence with state-of-the-art technologies, cutting-edge infrastructure, and a global scientific network. Contribute your knowledge, vision, and dedication
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of malaria parasites. We are especially interested in understanding the regulatory network orchestrating the original cell cycle that characterises malaria parasites and how checkpoint like decisions are made
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critical assessment of published data. Compositional analysis of stained glass windows in the laboratory by LA-ICP-MS and on site by pXRF. The latter requires the establishment of a robust calibration
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research networks. The position is particularly well suited for candidates interested in questions such as: how stakeholders make sense of contested sustainability innovations how perceptions, values, and
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crystallography, specifically in the structure solution and refinement of small molecule crystals using either electron or X-ray diffraction techniques. While candidates with experience in structure analysis based
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bioenergy, cultivation and conversion of micro and macroalgae, and geology and mining. Oriented towards Africa, ASARI acts in connection with a wide network of universities and research centers around the
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bioenergy, cultivation and conversion of micro and macroalgae, and geology and mining. Oriented towards Africa, ASARI acts in connection with a wide network of universities and research centers around the
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and/or social policy evaluation, and can: Carry out independent empirical research at a high academic level, from data cleaning to publication-ready analysis. Work effectively with large, complex
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it, and how it can be exercised. The methodological emphasis of the positions is on qualitative interviewing and interpretive and qualitative content analysis. Core tasks involve recruitment