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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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. 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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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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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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, 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
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tasks including use of tools such as SSIS, IWS, Python • Knowledge of and appropriate usage of fundamental statistics (effective communications with statistician and development of visualization
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and managing expenses on various research codes. You will be expected to present results periodically at group lab meetings. Knowledge of Solidworks or other CAD software, Matlab, Python or C++ would be
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. Strong programming and analytical skills (e.g., Python, R, GIS, modeling frameworks). Experience working with EO data, disease surveillance data, or socio-environmental modeling. Demonstrated interest in