780 computer-"https:"-"https:"-"https:"-"https:"-"CESBIO" Postdoctoral positions in United States
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Field
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consideration, all application materials must be received by March 13, 2026. The responsibilities of this position will be to lead data collection and analysis efforts on grant-funded program-related research
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related field and have a strong background in fMRI data analytic techniques. Computational and quantitative skills are highly desirable. While there will be opportunities for data collection and assessment
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broader program activities. Required Minimum Qualifications: Ph.D. in experimental Material Science, Condensed Matter Physics, Chemistry or closely-related disciplines. Preferred Qualifications: Experience
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program. We are a prestigious university with strong traditions, Core Values, and a community of caring and collaboration. Amenities associated with a major university, such as sporting and cultural events
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or related areas; demonstrated publications; strong computational skills (e.g., Python, MATLAB); and experience analyzing large datasets and communicating results effectively. PREFERRED : Experience with
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research program in Artificial Intelligence (AI) and Mathematics. This position involves applying machine learning tools, particularly reinforcement learning (RL), to address complex research-level
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communication, computer, and presentation skills. Ability to multi task and work cooperatively with others. Preferred Knowledge, Skills and Abilities: -Strong publication record in relevant scientific journals
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. QUALIFICATIONS PhD in Civil Engineering, Environmental Science, Computer Science, or a related field Research experience in hydrology, geospatial analysis, and machine learning Skills of scientific writing and
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. Knowledge and understanding of modern molecular biology, immunology and biochemical techniques including ChIP-sequencing and other multi-omics techniques is a plus. Strong analytical and computer skills are
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. The scholar will perform computational and laboratory-based research to investigate viral deactivation under varying environmental conditions. This position will contribute to data analysis, experimental design