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a strong background in statistical analysis and data-driven modeling applied to large astronomical datasets and time-domain surveys. Expertise in programming languages such as Python, R and C
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of lab ethnography. The life sciences are undergoing significant changes due to the increased use of big data, artificial intelligence and automation. With a focus on laboratory research in microbiology
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must be fluent in English (written and spoken) and have experience with large-scale health data and epidemiological or related analytical approaches and methodology. Some experience with programming and
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manager to work for the ERC Synergy Grant Project “LIMIT2ADAPT - When and where do we reach the limits of adaptation to riverine flood risk?”. You have expertise in exposure and risk research, large data
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human health. Within this mission, the Jug Group develops advanced computational methods and open scientific software to extract knowledge from complex biological imaging data. We work at the intersection
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this paradigm by quantifying antibiotic action at single-cell resolution. The scientific aim Our laboratory has established a large-scale live-cell imaging platform that tracks hundreds of millions
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addition to pursuing their own research agenda, we seek applicants with experience in survey design and computational methods, and working with complex large-scale data. Successful candidates will have completed a Ph.D
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applications of large language models, and causal inference and quasi-experimental methods. Key responsibilities include developing and leading innovative research projects aligned with the mission of IHPS
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agents for X-ray spectroscopy by integrating large language models (LLMs) with physics-aware spectroscopy workflows. The researcher will work closely with a multidisciplinary team of X-ray physicists and
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skills in R and/or Python and experience in statistical modelling of high-dimensional biological data. Experience working in HPC environments and managing large-scale sequencing datasets is essential