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plasma samples for isolation of extracellular vesicles and subsequent lipidomics and proteomics analysis. You will perform the targeted and untargeted lipidomics analysis in close collaboration with
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? The applicants should clearly state if they are primarily interested (and proven qualified) in performing research doing quantitative and/or qualitative research methods, such as social network analysis. We seek
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advise on experimental design, sample preparation, data analysis, and interpretation, translating measurements into meaningful scientific outcomes. You work closely with users and technicians
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for the other courses may include introductory computational methods, statistical methods, text analysis, network analysis, spatial analysis, societal impact of AI, digital media, art and technology, social media
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the ability to handle multiple tasks, working under stressful conditions. Activations of emergency procedures for evacuations or similar emergencies. Operation of specialized communication networking computer
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 5 hours ago
fundraising. Experience working with senior leaders and high-net-worth individuals. Proficiency with CRM systems (e.g., Blackbaud, Salesforce), database management, and data analysis tools. Demonstrated sound
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Sorbonne Université SIS (Sciences, Ingénierie, Santé) | Paris 15, le de France | France | 23 days ago
to the formation of a solid polymer network. Building on previous work carried out in the laboratory, this PhD project aims to evaluate the influence of metal cations (lead, copper) on drying kinetics, the formation
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in the collection, documentation and analysis of biosamples. Analyse and record clinical data to aid the design of the research data. Prepare papers for journals / presentations either in-house or
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schedules using Microsoft Project (MPP), including resource allocation and critical path analysis. Cloud Technology Knowledge - Strong understanding of cloud platforms (Azure, AWS, GCP), virtualisation
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at CERI under supervision of Dr. Goebel. and should contribute broadly to induced seismicity research. Specific research topics include seismicity analysis, machine learning, reservoir modeling, geothermal