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Field
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, separation, and catalysis, with a focus on carbon capture and conversion technologies. Artificial Intelligence: Leveraging AI and machine learning to optimize material design and catalysis processes. Carbon
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computing, and parallel programming paradigms Strong publication record in reputable avenues Strong writing skills Strong skills in model development, data analytics, machine learning, and visualization
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writing skills Skills and abilities: This will vary based on the hiring manager’s preferences and should include things that can be learned or trained for. Specifications Minimum Required Education: PhD in
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Qualifications: Completion of a PhD in aerospace engineering, physics, or a related field at the time of the appointment. Experience in experimental plasma physics. Ability to function and thrive in a
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systems, machine learning, and control theory. Experimentally validating these methods through field experiments. In addition to conducting research, the Postdoctoral Scholar will collaborate closely with
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are looking for young scientists who are passionate about water desalination and machine learning with its potentially transformative applications in research and industry. The two-year post-doctoral position
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the Fellowship start date of August 29, 2025. Recent PhDs from any discipline (including but not limited to Africana studies, anthropology, Asian studies, business administration, comparative literature
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 11 days ago
of patient care, education, and research. We strive to promote faculty, staff, and learner development in a diverse, respectful environment where our colleagues demonstrate professionalism, enhance learning
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 10 hours ago
emphasis on remote sensing. 2. Experience of using multiple sources of remotely sensed data, particularly optical, Lidar, and Radar data. 3. Sound statistical skills and use of Machine Learning/Geospatial AI
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Technology (CIT) and TUM School of Medicine and Health is offering a 2y-4y postdoctoral full-time position in medical machine learning. The Computational Pathology Lab (https://schuefflerlab.org