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to represent low-income clients in cases in Tarrant and the surrounding counties. Responsibilities: -Trains and supervises law students to provide excellent legal representation. -Represents clients and handles
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cited discipline area(s) to ensure that candidates have the foundational knowledge and skill set required to perform the duties of the position. The level of degree is based on accreditation requirements
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The University of North Carolina at Greensboro | Greensboro, North Carolina | United States | about 8 hours ago
– 15% Special Projects – 15% This position is a mandatory position as defined in the Adverse Weather and Emergency Event Policy. Minimum Qualifications Some knowledge of cleaning procedures, ability
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2026 (there is some flexibility) The Jozwik lab studies visuo-semantic cognition combining cognitive science, neuroscience, and computational modelling. The lab’s research has focused on probing specific
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the U.K. The project will investigate the representation of phonological knowledge and its relationship to script. This includes investigating how script interacts with representations in (morpho
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foundational knowledge and skill set required to perform the duties of the position. The level of degree is based on accreditation requirements, institutional standards of academic and professional excellence
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the knowledge and skills to research representations of multispecies mutualism. For these positions you will have knowledge of research methods such as (but not limited to) literary, historical or philosophical
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degree in the cited discipline area(s) to ensure that candidates have the foundational knowledge and skill set required to perform the duties of the position. The level of degree is based on accreditation
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Supervisor: Dr. Kamila Maria Jozwik, Jozwik lab PhD fees status: Home fees only (https://www.postgraduate.study.cam.ac.uk/finance/fees/what-my-fee-status ), 4 years Start date: October 2026 The
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of data scientists, software engineers, and experimental researchers on topics including: Developing multi-scale and multi-modal representation learning methods for scientific imaging data (e.g., SEM