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programming skills in modern languages such as Python or C++. Experience in statistical analysis, machine learning, and data-driven modeling applied to large astronomical datasets and time-domain surveys is
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Ecology values learning as a lifelong process. The educators, researchers and professionals we help grow are critical to shaping academic success and health and wellness for generations to come. EHE
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with prior experience in imaging to further their skills in brain imaging The Post Doctoral Scholar will work closely with CCBBI faculty, staff, and collaborators to learn foundational and applied
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training of the assigned faculty supervisor. This role requires a solid foundation of discipline‑specific knowledge in plant physiology, CT imaging, and deep learning/AI, and the ability to generate
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with tools such as ROOT, python, and slurm job submission, strong communication skills, a willingness to learn and try new things, and an interest in mentoring junior scientists. Some experience with
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of findings from in vitro and in vivo models in human disease. The candidate will have an opportunity to learn or become more proficient in the techniques used in the lab, including lung organoids, precision