380 data-"https:" "https:" "https:" "https:" "https:" "J. F" positions in Switzerland
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80%-100%, Lugano, fixed-term The Swiss National Supercomputing Centre (CSCS) develops and operates a high-performance computing and data research infrastructure that supports world-class science in
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, you process collected data, prepare reports, and deliver results back to customers and internal teams - ensuring that every project is both professionally executed and well-documented. Further, you will
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models or glioblastoma research Familiarity with transcriptomic methods (RNA-seq, FISH, spatial transcriptomics) Programming skills for data analysis (Python, R, or MATLAB) Workplace Workplace We offer
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. Our goal is to gain a better understanding of how cloud microphysical processes interact with cloud dynamics. We conduct laboratory and field studies, use remote sensing data and numerical models
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COMPAS XR framework developed at ETH Zürich. Project background The successful candidate will work at the intersection of computational design, XR, human-computer interaction, and robotic fabrication, with
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. The project will address questions regarding inheritance flows, inter-vivos gifts, bequest motives and taxation. You will be involved in all stages of research, from cleaning data to carrying out data analyses
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) influence system performance and trade-offs. The research will combine analytical modelling with data-driven and AI-based methods, for example for scenario generation or uncertainty exploration. The PhD will
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research experience Contact information for reference letters from 3 referees. Please note that we exclusively accept applications submitted through our online application portal. Applications via email or
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immunotherapy development. Candidates should also explore innovative approaches such as integrating high-throughput data, single-cell immune profiling, digital health platforms, and advanced computational
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environments (Schmidt, Science, 2022) — especially in the context of drug–host microbiome interactions — and developing dedicated tools and analytic workflows for the novel data modalities generated by Record