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analyzing the subseasonal-to-seasonal variability of the climate system; Demonstrate experience in Python code development; and Knowlege of programming skills including Python code development. Preferred
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | 12 days ago
science databases. This data analysis may be performed using various programming languages such as, SAS, R, or Python. As part of this opportunity, you will be able to engage with a multi-disciplinary
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)computer science, (bio)physics, mathematics, engineering or similar degree from STEM - advanced programming skills in Python - experience with ODE modeling, in pharmacokinetics, ADME, pharmacology
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scientific, word processing, spreadsheet or statistical software applications or program platforms including R, SAS, Python, and MPlus. Acquires Specialized Training. Attends trainings and skill development
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- Ph.D. in chemistry, physics, or a closely aligned field. - Demonstrated experience in conducting quantum scattering calculations. - Strong programming skills in languages such as Python or C/C
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for gene regulatory networks, single-cell multi-omics integration, spatial omics, and variant effect mapping in complex disease. Strong method/tool dev experience required (Python/R, ML/stats
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, Python, Stata, or other statistical programming environments Strong interest in research related to ultra-processed foods, addictive processes, eating behavior, or food policy The salary range is $65,000
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epidemiology, policy research, or interdisciplinary public health research is highly desirable. Experience with R, SPSS, Python, Stata, or other statistical programming environments Strong interest in research
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collection. Can demonstrate proficiency in R or Python of data handling and visualisation. Has understanding of marine food web dynamics and trophic models alongside strong quantitative and analytical skills
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the ability to prepare technical reports and academic publications. Proficiency in job-specific technical skills, including programming for research and data analysis purposes (e.g. Python or similar languages