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, design and analysis of virus-derived RNA libraries, and development of machine learning models for detecting functional elements in viral metagenomic datasets. This project is a collaboration with the
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Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg | Magdeburg, Sachsen Anhalt | Germany | 3 months ago
generation, processing, and analysis of thousands of micrometer-sized droplets, which facilitates the high-throughput screening of phase transitions. At larger scales, optical probes provide online information
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operando studies Skills in sample synthesis and preparation Familiarity with CAD software, 3D printing, and programming for data analysis Strong written and verbal communication skills, including a record of
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preparation protocols for NGS and Oxford Nanopore sequencing, organising, recording and overseeing the handling of biological samples, performing preliminary analysis and interpretation of sequencing data
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analysis, 30% - Analysis of scRNAseq data analysis, 30% - manuscript preparation, 20% Qualifications Required Qualifications: - PhD in Neuroscience - Experience in manipulations of mouse renal nerves
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, data analysis with R, TV-L E13, full-time, Munich. Starting in November 2026, application deadline: 30 September 2026. Postdoctoral researcher (m/f/x) Munich School of Politics and Public Policy
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, machine learning engineers, and clinical collaborators to design, implement, and validate innovative algorithms. Conducts exploratory data analysis to extract meaningful insights from complex datasets
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(ORNL) is seeking a highly motivated Postdoctoral Researcher with expertise in artificial intelligence and machine learning (AI/ML), remote sensing, Earth and environmental sciences, and the analysis
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sponsorship. Responsibilities: Performing high level experimental, theoretical, and numerical research and data analysis (50%) Presentation publication, and proposal preparation (25%) Mentoring PhD and MSME
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research associate to advance the analysis, quality assurance, and calibration of automated pavement condition data and pavement performance modeling. The successful candidate will contribute to two