602 computer-programmer-"https:"-"Prof" "https:" "https:" "https:" "https:" "UCL" "UCL" positions at Harvard University
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standards, leveraging Python and shell scripting to automate builds, packaging, and CI/CD. You will contribute to methods, training, and publications that strengthen computational rigor across cryo-EM
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of researchers who have transitioned or are transitioning from training environments in the physical/mathematical/computational sciences or engineering into postdoctoral work in the biological sciences, and who
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food service or hospitality industry. Must possess basic computer skills and have the ability to learn various business applications. Must have basic math skills and ability to perform basic fiscal tasks
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Qualifications: · Bachelor’s or Master’s in Engineering, Physics, Biology or related field. · Experience in biological imaging and image processing. · Ability to program. · Capable of organized, goal-motivated
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computer programming experience in any language (R or Python preferred) is required Fluency in Spanish is required Additional Qualifications and Skills: Bachelor's Degree in Environmental Science, comparable
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, Mechanical Engineering, Computer Science, or a related field for biomechanics and assistive robotics is required by the time the position starts. Additional Qualifications Some background in coding, controls
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in Machine Learning, Computer Science, Electrical Engineering, Geophysics, Applied Mathematics, or a closely related field. Demonstrated strong research skills, evidenced by high-quality publications
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Details Title Postdoctoral Fellow in Soft Robotics School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Position Description The Wood Lab is seeking a postdoctoral fellow to explore new methods for embodied intelligence in soft and reconfigurable...
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. Must be able to multi-task and perform duties with a high degree of speed, accuracy, and attention to detail. Must be proficient in writing business correspondence and have strong computer skills. Must
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and implementing commercialization plans for technologies in the physical sciences, engineering, applied, and computer sciences. This entails assessing the commercial potential and market opportunities