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explainable multi-modal deep learning models, in causal statistical models and in human-machine teaming and AI ethics. The successful candidate will need to be eligible for UK security clearance in principle
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environment, responding to student needs, managing effective instructional activities, developing curriculum courses, modeling employability skills, demonstrating professionalism, developing cooperative work
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This KTP project will bring together the collective expertise of Labskin Ltd and Aston University to develop the first immune-competent 3D model of human skin (i.e. skin incorporating immune cells
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to the development and use of new in vitro model systems for neurodegenerative diseases and brain cancer. The group is led by Henrik Ahlenius and includes 3 postdocs, an associate researcher, and a number of master’s
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implementation of programming aligned with the Patriot Pathways Program holistic student-athlete development model, which includes career readiness, personal development, leadership development, holistic wellness
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members, the Salesforce Administrator translates approved business requirements into scalable Salesforce solutions. This role emphasizes data integrity, security model design, release readiness, and long
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part of a team of scientists dedicated to the development of human in vitro models for the preclinical evaluation of candidate vaccines against various infectious diseases. Core activities will include
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with American Indian families utilizing tribal best practices toward engagement, as well as tribal practice models. The TTCP is part of a partnership with the Minnesota Child Welfare Training Academy
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Université Paris-Saclay GS Biosphera - Biologie, Société, Ecologie & Environnement, Ressources, Agriculture & Alimentation | Gif sur Yvette, le de France | France | 4 days ago
an integrative multi-omics approach, combining phenotypic, transcriptomic, epigenomic, and genomic data. The project is based on a robust model system centered on Malus sylvestris, one of the wild progenitors
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the following is desired: - Agentic and sequential decision-making for autonomous experimentation, including active learning and optimal experimental design - Generative and probabilistic modeling