63 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Universidade de Coimbra" research jobs at Texas A&M University
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The Research Assistant provides skilled administrative and technical support for faculty research. The role involves assistance across various phases of research projects, including data analysis, literature
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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
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Qualifications Master’s or equivalent combination of education and experience Bachelor of Science Cellular and Molecular Biochemistry major Responsibilities Research Collect, compiles, and analyze research data
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Psychology, mental health, or related field. Working knowledge of MS Office Experience with Excel spreadsheets and database data entry. At least one year of relevant experience in a research or clinical
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, analyzing and interpreting data, and up to date with current scientific literature. Responsibilities Research Performs molecular and cellular biology techniques, including Western blotting
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part of AgriLife and make a difference in the world! Position Information -Design and execute experiments related to soil/plant microbiomes. -Analyze experimental data, write reports, make presentations
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stimulation, and application of pharmacologic compounds during patch clamp experiments. Maintaining the electrophysiology rig, keeping accurate records of experiments, performing data analysis, and creating
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information here ! PURPOSE The purpose of the position is to assist Dr. Rupert in his research agenda, and to teach courses in the Department of Mathematics and Statistics at TAMUCC. The postdoc will bring
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various bacterial and viral infections. This position will assist in generating necessary data for currently funded research projects. What you need to know Salary: Will be commensurate based
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various aspects of nucleocytoplasmic transport. Data Analysis Use existing algorithms and design new approaches to analyze microscopy data in order to understand its implications for understanding