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work on the project together with Professor Ester Barinaga. We seek a candidate interested in developing this line of research with a deep interest and specialization in Complementary Currencies and
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outside Europe. Collect and analyze high-quality data. Develop your own research questions within the framework of the project. Participate in regular project meetings and collaborate closely with other
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or sources of CO2 and other greenhouse gases? 2) Is this status changing with global change, and if so, in what direction? In the project we will develop low-cost sensors to obtain high-resolution measurements
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will also use focussed ion beam milling scanning electron microscopy (FIB-SEM) to prepare infected cells for in situ cryo-ET. The resulting tomographic data will be analysed by machine-learning assisted
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conditions that encourage personal development and inclusion for all co-workers. We care deeply about both physical and safety and the psychosocial work environment. We offer Lund University is a governmental
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and services, monitor soil carbon, and generate agricultural carbon credits for the voluntary market. Key responsibilities include: Conducting fieldwork and developing extensive case studies to analyse
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given to how the applicant’s experience and skills complement and strengthen ongoing research within the department and how they stand to contribute to its future development. Terms of employment This is
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information about us, please visit: www.dbb.su.se . Project description The candidate will develop machine learning (ML) strategies, primarily revolving around interpretable ML and generative AI, to study
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the relationship between regenerative and cancer biology. This will require working with newts (Pleurodeles waltl). Specifically, you will generate transgenic newts using CRISPR/Cas technologies and develop cutting
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computational workflows including: - Profiling open chromatin, histone marks, methylation, and chromatin conformation during wood development and drought stress in spruce/pine. - Building integrative analyses