47 evolution "https:" "https:" "https:" "https:" "https:" "https:" "Dublin City University" uni jobs at University of Lund
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Doctoral student in development of nanowire devices for photonic neuromorphic computing (PA2026/472)
on lu.se. https://www.lunduniversity.lu.se/about-university/work-lund-university About the employment The employment is afixed-term employment at full time, starting as soon as possible. Third cycle studies
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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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analysis in Python for SasView Initial validation against reference Matlab results Clear documentation of the method, implementation choices, and limitations Recommendations for further development and
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experiments. Experience in automating and standardizing BioSAXS workflows, including the development of data-collection pipelines and user-friendly graphical interfaces. Proficiency in interpreting BioSAXS data
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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
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Johannes Cairns at the Department of Experimental Medical Science, Faculty of Medicine, Lund University. The group studies microbial evolution, antibiotic resistance, and microbial interactions using
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who wish to use the MAX IV facilities. The User Office works in close collaboration with the entire MAX IV organisation to continuously supports the development of the MAX IV offering, from new access
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research, including e.g. plant-based meat analogues, carbon capture and formulation and purification of biopharmaceuticals. The Membrane group (https://www.membranegroup.lu.se/) at PLE is the most
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and has since developed genuine interdisciplinary education and research with focus on strategies for sustainable development. The Institute facilitates a great number of external research and
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the genomic landscape of breast cancer using large scale tumor sequencing data. You can read more about the project on our website https://portal.research.lu.se/sv/persons/staaf-johan/. The research team is