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Field
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applications for a postdoctoral position in our theoretical research group focused on advancing quantum technology through the development of 229-Thorium nuclear clocks. This project is inherently
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course with existing syllabi, lesson plans, and assessment strategies, then adapting and making it your own b) Designing a new course from scratch, to be taught in the spring, developed in
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presentations at leading international conferences. The PDA is expected to contribute to the intellectual property development through patent filings, as well as participating in standardization efforts relevant
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researchers to select study sites, obtain sampling authorizations, carry out fieldwork (sample collection, dendrometric measurements), prepare and measure the samples in the laboratory, carry out statistical
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modelling, theoretical physical organic chemistry and electronic structure theory to advance our understanding of chemical reactivity. We aim to develop new concepts and computational tools to drive
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and to what extent is an open question. To address this, Rijkswaterstaat initiated the MONS project (https://www.rijkswaterstaat.nl/water/vaarwegenoverzicht/noordzee/onderzoeksprogramma-mons ). In
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, influenza in cattle, and workforce development, integrating epidemiological methods with applied dairy systems research. While in this role, you will: Conduct quantitative epidemiological analyses using
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
machine learning and/or biomedical image processing. The ACM Lab is developing software to support AI-driven techniques to rapidly diagnose, track, and treat neurodisorders. The ideal candidate will have a
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developing, documenting, and maintaining opensource software related to this project. Further information on the research of Dr. Marios Kogias can be found at https://marioskogias.github.io/ . Research
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agenda The ability to develop a body of high-quality publications in scholarly journals with global impact Proficiency in statistical software packages, including R and SPSS, for large and complex data