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diagnostics, and carbon nanomaterial synthesis. This is a highly collaborative role involving close interaction with industrial sponsors, academic collaborators, technical staff, and PhD students
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websites and reports (using web scraping tools), qualitative content analysis, as well as data collection through surveys and focus groups. The successful candidate will be expected to take the lead and
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personality: You hold a PhD in synthetic organic chemistry. Previous experience working with organic synthesis, total synthesis, electrosynthesis and catalysis is required. Proficiency in data analysis and
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flow cytometry, qPCR, ELISA, confocal microscopy, immunofluorescence or multiplex cytokine analysis. Experience in the analysis and interpretation of complex biological data. Competence in statistical
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using top quark identification. These physics interests will influence the benchmark studies to be performed to assess the performance of the upgraded system. Some level of physics analysis will also be
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-qualified candidate may also possess: Data analysis, statistical methodology and computing Salary: $56,000.00 annually Special Note: This position is funded from grant and/or contract funding, which is
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experimental campaigns and use measured data for model calibration, validation and uncertainty analysis. Work closely with ECA Engineering and industrial partners operating full‑scale or pilot pyrolysis plants
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Max Planck Institute of Molecular Cell Biology and Genetics, Dresden | Dresden, Sachsen | Germany | 27 days ago
Single-cell multi-omics and epigenetic profiling Genome-wide approaches and genomic data analysis Mechanistic validation of candidate pathways that shape regenerative responses and injury memory
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. Position Requirements Recent or soon-to-be-completed PhD (typically completed within the last 0-5 years) in chemistry, materials science, metallurgy, electrochemistry, electrometallurgy, chemical
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qualifications are considered an advantage: knowledge of cell-based immunotherapy, immunology, synthetic biology, and/or tumor biology, experience in transcriptomic data analysis, preferably at the single-cell