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cultures, molecular and genetic analysis, and protein analysis techniques. Additionally, we are looking for candidates who demonstrate proficiency in data collection, rigorous data analysis, and effective
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-established data resources accessed within a secure Trusted Research Environment for large-scale analysis. This role offers excellent opportunities to engage with a broad network of collaborators including
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for artificial intelligence in life sciences, we benefit from high-throughput computing infrastructure to support advanced data analysis and integration. Profile We are looking for a motivated postdoctoral
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scholars in Law and two PhD students (one in Law and one in Computer Science/Data Analytics), as well as with international, European and national stakeholders involved in the CURE project. The post-holder
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center for artificial intelligence in life sciences, we benefit from high-throughput computing infrastructure to support advanced data analysis and integration. Profile We are looking for a motivated
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. theoretical expertise, empirical data collection and analysis, or legal analysis). A growing track record in publishing and disseminating research outcomes. Initiative and independence in managing research
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Max Planck Institute for Nuclear Physics, Heidelberg | Heidelberg, Baden W rttemberg | Germany | 8 days ago
data analysis for the first telescopes at CTAO-South, the legacy programme and science archive for H.E.S.S, joint analysis between HAWC and H.E.S.S., and preparations for SWGO. The division benefits from
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Stanford University / SLAC National Accelerator Laboratory | Menlo Park, California | United States | about 3 hours ago
or superconducting sensors a plus) Vacuum / noble liquid systems Dilution refrigerators and superconducting detectors Detector simulation using Geant4 and/or G4CMP Statistical data analysis Collaborative experimental
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with the data collected; Preparation of results for manuscripts and publication; Assisting the PI in the organization of research project workshops; Liaise with Quantitative Analysis Center (QAC) on data
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-on experience with LC-(ESI)-MS/MSwith metabolomic or proteomic samples is highly desired Experience in metabolite and protein extraction, MS data analysis tools and gel electrophoresis techniquesis highly desired