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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 4 days ago
Engineering stresses the application of science and engineering, mathematical analysis, and computer techniques to biomedical problems. The research and entrepreneurship of the faculty, students, and staff aim
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Spinoza's Theological-Political Treatise, this Schmidt Sciences-funded phase integrates large language models with computer vision to systematically uncover hidden networks of controversial printing during
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spectroscopic tools (photoelectron imaging and action spectroscopy) to study the structure and dynamics of transition metal complexes. The research project aims to develop a new method for elucidating
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-… Requirements Specific Requirements PhD in Philosophy, or a closely related field, is necessary. Expertise in climate ethics and/or philosophy of climate science is necessary; familiarity, or at least strong
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Max Planck Institute for Medical Research, Heidelberg | Heidelberg, Baden W rttemberg | Germany | 3 months ago
Developing new fabrication processes for CaF₂, sapphire, and BK glass Collaborating closely with industry partners in areas including lasers, imaging cameras, and display technologies Preparing and supporting
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. About You You will have, or be close to completion of a PhD/DPhil in Statistics, Machine Learning, Data Science, or a related quantitative discipline. You will demonstrate strong specialist knowledge in
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Research FieldBiological sciences » BiologyEducation LevelPhD or equivalent Skills/Qualifications PhD in developmental or cell biology Proven experience with multi-step molecular cloning andt) in human iPSCs
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stimulation and recording electrodes. Design, execute, and analyze research studies using intracranial EEG data from animals. Perform advanced signal processing and time–frequency analyses of neural recordings
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. You may upload these documents to the application under CV/Resume. Required Education and Experience Appropriate PhD in related field Preferred Qualifications Experience labeling proteins with
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big-picture questions. Preferred Qualifications: Experience with computational topology software (e.g., GUDHI, Ripser, giotto-tda, or similar). Familiarity with natural language processing (NLP