90 python-"https:"-"Computer-Vision-Center" Fellowship positions at Michigan State University
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, sex, sexual orientation, gender identity, national origin, citizenship, age, disability or protected veteran status. Required Degree Doctorate -Electrical and Computer Engineering Minimum
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Computer programming skills Desired Qualifications Experience developing computational tools for biomolecular systems Experience training machine learning models Experience working in a collaborative
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. The selected candidate will work with Dr. Yuzhen Lu to develop and test automated field-deployed sensing/harvesting systems that may integrate machine vision, artificial intelligence, and mechanisms for
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, and solvents such as isopropyl alcohol for surface cleaning. Website https://engineering.msu.edu/departments/ece Department Statement The Department of Electrical and Computer Engineering has strong
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independently Confidence with computational biology including use of programming languages such as R, python and some familiarity with high performance computing Excellent communication and interpersonal
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methods to biological systems Proficiency in Python programming Excellent written and verbal communication skills First-author peer-reviewed publication(s) Desired Qualifications Experience
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ultrasound, wearable and accelerometry-derived loading or physical activity analytics, gait biomechanics, or circulating biomarker analysis. Programming proficiency in R, Python, or MATLAB. Experience with
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software(s), proficient in programming in both R and/or Python. Ability to collaborate and clearly communicate with stakeholders, state and federal agency biologists, university scientists, and non
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python), computational mechanics and fluid dynamics, numerical methods, machine learning, and the finite element method. In this position, the candidate will develop data-driven multiscale/multiphysics
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, data analysis, and visualization environments/IDEs (e.g., R/R Studio, Python/Spyder/VSCode) Familiarity with GIS methods and cloud-based computing resources (e.g., Google Earth Engine) for large-scale