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Research Assistant / HiWi (8 hours/week) - Climate Opinion Data Analysis with R - Faculty of Busines
Research Assistant / HiWi (8 hours/week) - Climate Opinion Data Analysis with R - Faculty of Busines The research group of International Political Economy and Energy Policy, led by Prof. Aya Kachi
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postdoctoral position, with the possibility of renewal, in the field of Analysis and Partial Differential Equations (PDEs). Job description - The successful candidate will collaborate on research projects
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the research, development, and application of systems for pathogen genome data curation, analysis, and sharing. You will join the Epidemiology & Virus Evolution (EVE) group at Swiss TPH, working alongside
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skills in programming, modelling, and data analysis. Experience in formulating and solving mathematical optimization problems, as well as working on real-world demonstrators, is an asset. Proficiency in
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central component. Additionally, engagements with some of the following domains – cultural techniques, media archaeology, critical making, media forensics, medium design, infrastructure studies, political
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supervision of Prof. Robin Erbacher, and is expected to play a leading role within the endcap muon CSC and/or GEM detector subsystems, both on upgrades and operations. They will also work on CMS data analysis
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first-author original research publication in a high-impact factor journal. Strong mentorship skills, the ability to guide junior researchers, and a collaborative mindset to interact effectively with
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feedback-driven imaging, image analysis, and visual proteomics. These efforts will be strongly supported by the outstanding core facilities at the Biozentrum, which offer state-of-the-art imaging and mass
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of antimicrobial resistance (AMR) genes. By applying high-throughput sequencing and integrative data analysis in clinical and environmental settings across hospitals in Guinea-Bissau, Nigeria, and Côte d'Ivoire
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of mental and mood disorders. As a growing population lives in the urban environment, it is crucial for us to gain a more holistic understanding of how various elements of the built environmentaffect both