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application from female candidates. We regret that only shortlisted candidates will be contacted. In accordance with Germany’s data protection regulations, application documents from candidates who are not
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cell sequencing datasets and to combine these data with AI analyses from bone marrow smears. We aim to analyze mechanisms and also to develop new biomarkers for therapy response and resistance. Job-ID
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the Leibniz Junior Research Group “ Probabilistic Methods for Dynamic Communication Networks“ (Head: Prof. Dr. B. Jahnel) starting as soon as possible. The position is within the Math+ project "Information Flow
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GC-009 in the subject line. Your application should include: Cover letter Curriculum vitae Academic transcripts Contact information for two references About LMU Munich LMU researchers work at the
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of great ape communication to identify evolutionary trends and simulate dynamics that might explain the evolution of common ground in humans. For more information see the following representative articles
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, France. It is also part of a broader psychological research network focusing on eye tracking. Your tasks will include: Planning and conducting laboratory experiments Analyzing experimental data with a
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for the contactless detection of plant conditions. The position is advertised as part of the international joint project ‘MULTIFUSE: Advanced Multimodal Sensing and Data Fusion for Early Digital Detection of Plant
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for transplantation, isolation of cells, treatment with small molecule inhibitors Computational analyses of scSeq data with support of experienced computational researchers Literature research and manuscript writing
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of ex-change platforms (database, information pages, etc.); summarizing the results of the individual PhD study project in a dissertation. Successful candidates will work together with approx. 18 PhD
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psychology A successfully completed scientific university degree in psychology Accurate working and strong team spirit Confident handling of large, longitudinal data sets Competent use of statistics and data