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U.S. Department of Energy (DOE) | Washington, District of Columbia | United States | about 18 hours ago
seeking candidates to apply to the DOE Science, Technology, and Policy (STP) Fellowship Program via the U.S. Department of Energy's (DOE) Workforce Readiness Accelerator for Major Projects (RAMP) program
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motivated researcher to develop a strong independent research profile at the interface of Bayesian statistics, clinical trial design, optimization, computational statistics, and/or translational cancer
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4 Jul 2026 Job Information Organisation/Company University College Dublin Research Field Mathematics » Statistics Mathematics » Statistics Researcher Profile Recognised Researcher (R2) Application
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workflows, statistical analysis, and multi-omics data integration. Experience with computational immunology or advanced biological data visualization. Interest in translational vaccine research and
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background in experimental design, data analysis, and scientific writing. Proficiency in statistical software (e.g., R, SPSS, Python) and survey tools (e.g., Qualtrics). Ability to work independently and
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, design, plan, and execute wet-lab experiments, conduct bioinformatic and statistical analyses, and write peer-reviewed journal articles. Key Responsibilities Design and implement experiments that pair
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for analysing movement and behavioural data. Strong knowledge of statistical analysis, experimental design, and reproducible computational research. Experience with scientific Python libraries (NumPy, SciPy
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for a postdoctoral scholar is available in Dr. Hasan Yılmaz’s research group in the Department of Electrical and Computer Engineering at Saint Louis University for researchers with strong backgrounds in
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: Work on the project to build a statistical model that predicts stability of a given heteroaromatic silicon-fluoride acceptor to survive in the body Scientific writing Mentoring graduate students
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and evolutionary biology or a closely related field. Experience with computational analysis. Experience in assembling and analyzing short-read data (e.g., Illumina) or long-read data (e.g., Oxford