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of a project team consisting of the principal investigator, two PhD students and yourself, with your workplace at Geocentrum I in Lund alongside the department's roughly 60 staff. At KEG and CIRCLE you
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compiling a methods guide. The data gathering requires local travel, while other tasks are completed on site at Lund University. Qualifications The assessment will primarily be based on your research merits
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, mixed-effects modeling, Bayesian methods, deep learning, variational autoencoders, generative AI). Is an experienced programmer in R and/or Python, and used to working with large datasets and reproducible
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experimental and computational methods to identify molecular mechanisms leading to dysfunctional cellular states in human disease (www.camunaslab.org ). The candidate will contribute to the improve Slice-seq, a
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investigator, two PhD students and yourself, with your workplace at Geocentrum I in Lund alongside the department's roughly 60 staff. At KEG and CIRCLE you join an international and interdisciplinary research
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clinical and international research environments. Qualifications Requirements for the position include: A completed PhD in psychology, medicine, neuroscience, or a related field Documented experience in
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: Hold a PhD in History or Economic History. Have experience of working with both quantitative and qualitative research methods. Have published research relevant to the GLOW research project. Demonstrate
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communication with collaborators. Your profile The applicant must have expertise in molecular methods and be able to communicate effectively in oral and written English. The applicant is expected to have a lab
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duration, but will include anaerobic cultivation of bacteria, single cell RNA sequencing, and communication with collaborators. Your profile The applicant must have expertise in molecular methods and be able
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qualifications: The successful candidate must: Hold a PhD in History or Economic History. Have experience of working with both quantitative and qualitative research methods. Have published research relevant