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particular to the maintenance of human iPSC cultures. Experience with the quantification of imaging and electrophysiology data, and statistical methods required for this type of analysis. Excellent spoken
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understanding of dark energy. Projects may span a broad range of topics, including improving Type Ia supernova modelling and standardization, developing and applying advanced data analysis and statistical methods
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(ICP-OES), mass spectrometry or graphite furnace atomic absorption spectrometry (GF-AAS); 3) Experience in data analysis and statistical tools: cluster analysis and principal component analysis; 4
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, 2026) in Psychology with demonstrated expertise in gender development. Applicants should have expertise in video coding (e.g., Datavyu), longitudinal data analysis (e.g., RI-CLPM, growth-curve analysis
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Max Planck Institute of Molecular Cell Biology and Genetics | Dresden, Sachsen | Germany | about 20 hours ago
01307, Germany [map ] Subject Areas: algebraic topology, applied topology, data analysis Appl Deadline: 2025/11/16 11:59PM (posted 2025/10/14, listed until 2025/11/16) Position Description: Apply
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sequencing analysis and integration of multi-omics data (preferably in the statistical programming language R). Proficiency in molecular biology techniques (qPCR, immunostaining, imaging, image analysis, FACS
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kinds of task and activity in the project: literature reviews; primary and secondary data collection; interviewing informants; qualitative data analysis; presenting research at events; writing up research
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expertise). The postdoctoral fellow will work closely with Research Director Anushah Hossain and the SEI team. Position Responsibilities Conduct archival research and qualitative data analysis on Unicode
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Department/Location: MRC Cognition and Brain Sciences Unit We are seeking a postdoctoral research associate with experience in human neuroimaging (fMRI and/or MEG) and advanced data analysis
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communities to environmental stresses and the cascading effects on ecosystem functioning. - Setting up experiments - Ecophysiological measurements in the laboratory - Statistical analysis of collected data