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We are seeking an exceptional and highly motivated Senior Research Scientist/ Data Analyst with a passion for tumour immunology and strong expertise in large-scale transcriptomic data analysis
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the newly initiated Subaru Hyper Suprime-Cam (HSC) medium-band (MB) survey. The HSC/MB filters cover the 400-1000 nm range with 16 bands (R~20), and will be used to conduct a large 3-tier survey (wide
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the John Radcliffe Hospital and the Oxford Big Data Institute, with the central aim being the development of rapid diagnostics of antimicrobial resistance in clinical samples. You will work as a member of an
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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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remissions. Hence, many different CD-marker panels are currently used to measure specific functional cell populations such as T-cell, B-cell and NK-cell subsets. As we have a large number of data of different
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 18 days ago
Science, or a related field; familiarity with large-scale data management, curation, and FAIR data principles; experience with plasma physics, MHD stability, or fusion energy research preferred; experience
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French National Research Institute for Sustainable Development | Montpellier, Languedoc Roussillon | France | about 9 hours ago
or a related field. Excellent quantitative skills and extensive experience in analyzing large datasets. Demonstrated competence in computer programming and proficiency in languages such as Python
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at large-scale, data-driven legal analysis. The broader goal is to extract structured knowledge from legal texts and enable empirical research, particularly in the area of international human rights law. The
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be made on the experimental run products using MC-ICP-MS and the postdoctoral associate will make the measurements, analyze the data, prepare manuscripts, and present the results at conferences
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Ph.D. (or equivalent) in Astronomy, Astrophysics, Physics, Planetary Science, or a closely related field by the start date. Demonstrated experience in one or more of: large-scale data analysis, time