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Field
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analysis and good experimental practice Work closely with the Attochirality team, including the group's electronic and mechanical engineers and external collaborators in spin detection and theoretical
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Postdoctoral Researcher (f_m_x) - Hydrology (advanced data analyses and innovative experimental w...
will be complemented with additional field installations, monitoring and experimentation in the riparian zone. Methodological developments, both in terms of data analysis and experimental approaches
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informative but also pose significant privacy risks. Your work will focus on developing and studying privacy-preserving methods, such as differential privacy, Bayesian privacy, federated learning and synthetic
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analysis of genetic and genomic data, causal mediation analysis and Mendelian Randomization, polygenic risk scores, and AI/transformer-powered analysis. We seek an individual with strong backgrounds in
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independent research while contributing effectively in a multidisciplinary team environment. Strong proficiency in MATLAB for modeling and analysis is required. Experience in experimental vibration testing is
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. Investigates treatment-associated toxicities using clinical data to develop predictive risk models. Applies survival analysis techniques to evaluate long-term outcomes in diverse pediatric patient populations
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analysis; process safety; risk engineering; reliability engineering. Work Location: Main Campus – College Station, TX. About Mary Kay O’Connor Process Safety Center The Mary Kay O’Connor Process Safety
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with aerosol-generation systems and cloud droplet probes. Responsibilities also include data analysis and dissemination of results through presentations at professional society meetings and publications
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with clinical or behavioral phenotyping, including structured psychiatric assessments • Interest or experience in electronic health record (EHR) analysis, clinical risk prediction, or large-scale health
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journals from criminology and related fields. Strong methodological competences and experience working with data collection and analysis is required and some experience with research funding is preferred. We