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                will use machine learning and other advanced statistical techniques to develop precision prediction models using large multimodal datasets. Assist writing and submitting grant applications. Work as a 
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                satellite based remote sensing. Experience with time series analysis. Experience with ecosystem sciences. Good ability in handling large amounts of data. Experience with plant physiology. Experience with 
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                of complex vacuum systems Hands-on experience working at synchrotron facilities or other large-scale experimental research infrastructures. As a person you are organized, take initiative, and enjoy 
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                others do not, we hope to improve future treatment strategies. We conduct advanced molecular analyses of tumor tissue from patients undergoing immunotherapy. These analyses generate large amounts of data 
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                ) Experience in data processing, statistical analysis, and scripting in R Practical experience with laboratory animal experiments and/or with large-scale studies of animals in the field Assessment criteria and 
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                , IT infrastructure, detectors and scientific data. This is a dynamic and highly challenging environment that requires close collaboration with the staff to understand the needs and be effective in 
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                The Department of Psychology invites applications for a PhD position within the international research project “Development of a Data-Driven Taxonomy of Non-Ordinary States of Consciousness through 
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                , as well as advanced knowledge of language and sociopolitical contexts in Southern Europe. For more information about the project, visit: https://portal.research.lu.se/en/projects/gender-struggles-in 
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                associated land use changes, it is fundamental to understand the patterns, drivers and effects of vegetation fires in order to prevent fires and reduce harm to ecosystems and societies. Collecting data on fire 
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                , development economics, economic demography, financial history, and education and the labour market. More information is available on the department’s website: www.ekh.lu.se . The Centre for Economic Demography