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analysis, machine learning, and data-driven modeling applied to large astronomical datasets and time-domain surveys is highly desirable. Although experience with microlensing and transit exoplanet searches
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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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recruits transfer students -- including underrepresented minoritized students -- to do research under the mentorship of an RMT postdoc who will also have the opportunity to teach at Columbus State Community
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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 a focus on building multimodal AI models to predict dental caries progression. The successful candidate will work on developing deep learning and computer vision models using longitudinal dental
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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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required. Safety training, equipment, clothing and supplies will be provided when required). OTHER: This is a full-time position (40 hours per week). Willingness/desire to learn new techniques, software
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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