58 data-"https:" "https:" "https:" "https:" "https:" "https:" "SciLifeLab" "IFM" "IFM" "IFM" research jobs at Texas A&M University
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contribute to data analysis, conference presentations, and ongoing seminars and workshops, while working closely with Dr. Vujanovic and a multidisciplinary team to explore innovative research questions related
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lab: tx.ag/mdlab . Opportunities to Contribute Plans and coordinates research activities, including prioritizing tasks, assigning projects, managing data collection, and maintaining communication with
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will lead experimental design, data collection, and quantitative analysis to evaluate system performance and human learning and decision-making outcomes. The position involves close collaboration with
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. Opportunities to Contribute Conduct high‑quality experimental research in the field of chemical biology while adhering to the highest ethical and professional standards. Analyze experimental data and contribute
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supervision, applying knowledge and skills gained through education and experience to complete projects within their field of expertise. Analyzes research data, summarizes findings, and contributes to research
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Bioinorganic, Bioanalytical, and Biophysical techniques. Experience with metal ions in biological systems. Ability to analyze spectroscopic and biological data involving metal ions in biology. Ability to use
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Glimpse of the Job The Research Assistant will lead outreach, coordination, training, and data collection efforts for an NIH-funded, multi-site clinical trial evaluating a resilience training program for
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Glimpse of the Job The Research Assistant will oversee the coordination and data collection processes for a multi-site randomized clinical trial focused on treatment evaluation for co-occurring
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publications, presentations, and research reports based on appropriate application of theories and analysis of the research data. Research Field Support: Contribute to the design of the research. As needed
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data science, and/or public health or related fields including health services research, health informatics, computer scienceExperience in data analysis using statistical software & machine learning (e.g