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simulations and perform computational experiments using high-level programming languages (e.g., Python, MATLAB, R, or Julia). Curate and integrate experimental data to calibrate and validate models, including
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, Economics, Statistics, Computer Science, Engineering, or Mathematics. A demonstrated passion for investing and a strong desire to learn about financial markets. Strong proficiency in R or Python for data
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. Progressive programming experience, ideally including delivery of software systems that integrate AI components like LLMs, APIs, or knowledge bases. Strong programming skills in Python. Experience with Git
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mathematics, computational biology, quantitative biology, or a related field. Experience in ABM development and ODE/PDE modeling and analysis. Strong programming skills (Python, Julia, Matlab, C++, or similar
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. Progressive programming experience, ideally including delivery of software systems that integrate AI components like LLMs, APIs, or knowledge bases. Strong programming skills in Python. Experience with Git
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strong interest in neuroscience, and the ability to code in Matlab and/or Python. · Excellent attention to detail, adaptability, and capacity for independent work. · A minimum 2-year commitment is highly
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demonstrated proficiency in statistical software (e.g., R, Python, PLINK, SAIGE). Familiarity with chronic kidney disease phenotypes and population-based studies. Excellent organizational, communication, and
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electrophysiology and behavioral datasets. Use tools such as MATLAB, Python, or similar platforms for signal processing and statistical analysis. Maintain accurate records of data and experiments, adhering
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packages in Python. 3)Validate the model by collaborating with the Mayo Ultrasound laboratory. 4)Support other research and educational activities of the PI through grant writing and graduate student
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, Computational Biology, Computer Science, or a related field. Additional Qualifications: • Proficiency in Python, R, SQL, and/or other relevant programming languages; knowledge of Java or C++; familiarity with