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dilution refrigerators or cryostats for low-temperature characterization. • Data Analysis: Automate measurement routines (Python/MATLAB) and analyze complex datasets to validate the trimming process
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; the regulation of gene expression; population genetics, genome analysis and the development of breeding systems. Species in use are model organisms such as Arabidopsis thaliana, Physcomitrella, tobacco and yeast
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application! This recruitment is linked to the Impact Innovation program Swedish Metals and Minerals – an initiative of Energimyndigheten, Formas and Vinnova. Read more: https://impactinnovation.se/program
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. For more information, please see: https://www.scilifelab.se/data-driven/ddls-research-school/ The future of life science is data-driven. Will you be part of that change? Then join us in this unique program
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Uppsala University, Department of Information Technology Are you interested in developing new image analysis and machine learning methods for precision medicine and clinical decision support? Would
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research environments in Computational Science, the research and education has a unique breadth, with large activities in areas such as numerical analysis, mathematical modelling, development and analysis
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· Designing and performing experiments · Data analysis and manuscript preparation · Presentation of results internally and externally · Collaboration with other scientists
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plan and participating in relevant doctoral courses, the position includes the following duties: Processing and preparing bone marrow and blood samples from mice and humans for analysis Flow cytometry
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written and spoken English. Meriting criteria are: experience with latent variable models or closely related statistical models; experience with change-point methods, text analysis, or scalable statistical
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regions by developing interpretable and efficient methods in comparative pangenomics, leveraging machine learning methods, statistical analysis and efficient algorithm and data structures (https