56 evolution "https:" "https:" "https:" "https:" "https:" "https:" "ISCTE IUL" "ISCTE IUL" uni jobs at University of Lund
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biology platform https://www.scilifelab.se/units/structural-proteomics/ The unit provides access to cutting-edge equipment and expertise, for the analysis of protein interactions and conformational dynamics
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bachelor's and master's programs for both Swedish and international students. Read more at https://www.biology.lu.se/ . Find more reasons why Lund University and the Faculty of Science are right for you here
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Methods Centre, we work with the application and development of social science research methods. We encourage and grow through interdisciplinary exchange and collaboration. The Method Centre is organized as
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, from the early development of telecommunications to the space race. Today, driven by the need to engineer ever larger systems, Automatic Control is more relevant than ever. The department of Automatic
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setting, supporting innovative science and engineering teams and contributing to the development of cutting-edge scientific infrastructure. You will play a key role in shaping safety practices from early
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with other safety experts and functions at MAX IV Provide guidance to engineering and research teams on integrating laser safety by design during early development phases Be able to validate safety
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, econometrics, applied microeconomics, and macroeconomics. For more information, please visit: https://www.lusem.lu.se/organisation/department-economics/research Job Assignments The holders of these positions
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background and interest in soil microbial ecology, ecosystem ecology and biogeochemistry. You will be part of the Microbial Biogeochemistry in Lund (MBLU) research environment (https://portal.research.lu.se/en
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meet open-minded people from different perspectives. Your main work tasks will include: Primarily, your main responsibility will be the technical development and customization of the organization’s
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-resolved decoding and generalization of cognitive states. A central component of the project is the development of real-time or near-real-time EEG decoding approaches, in which classification models