85 evolution "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" "UCL" positions at University of Lund in Sweden
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in food systems, and agricultural development is meritorious. Application materials to be submitted: - Cover letter (2 pages): Include a short motivation, connection with the position, and how
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. The position is a career development post, and its purpose is to act as an initial step on a career path by providing the opportunity to to deepen and broaden your research expertise. The position also includes
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. Qualifications The ideal candidate will have the following specific qualifications: A PhD in sustainability science. Other related fields, such as agroecology, development studies, geography, or political ecology
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particular, the candidate will work on the development of novel deep-learning reconstruction algorithms to retrieve 3D and 4D (3D+time) imaging acquired by advanced X-ray imaging techniques. Such developments
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simultaneously with measurements of the gas-phase composition. The work involves the development and application of advanced experimental methods to link surface structure, gas-phase reactions, and catalytic
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the POLLCLIM project that focuses on the ecology and evolution of generalized pollination systems. The project assistants will assist with field studies of plants and pollinators in southern Sweden, preparation
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multicultural work environment with great opportunities for personal development with respect for a healthy work-life balance. Would you like to work in a challenging and supporting environment? Then join us and
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collaboration and a workplace that promotes learning and development for all employees. We are also committed to building a safe and positive environment for all employees through mutual respect and tolerance
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lidar. The development is done by raytracing, Computer Aided Design and 3D printing. After calibration, the instruments will be tested in field for applications within bloodsucking disease vectors as
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designing and building research environments, particularly those supporting data-intensive workflows A documented significant contribution to the development of a scientific software during the last three