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correction and disease modelling organoid systems, to join our world-class research team at the Frazer Institute to support and drive dermatology research. This position builds on our recent foundational work
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Your Job: We are looking for a PhD student to develop learning-based surrogate models for predicting stress fields in patient-specific arteries. Especially high stresses in plaque can lead to
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%). You will work at the intersection of numerical analysis, uncertainty quantification, and scientific machine learning. The research will primarily focus on probabilistic methods for data-driven model
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and Intelligence (PLI), an initiative of the Princeton Laboratory for Artificial Intelligence. PLI pursues research on the study, design, and evaluation of large AI models (especially language models
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tax monthly), with 75% of public transportation costs covered by the employer and 44 days of paid leave per year. Within the framework of the PEPR B-BEST program (https://www.pepr-bioproductions.fr
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demonstrated that this transition involves mechanochemical dynamics in gastruloids, in vitro models derived from embryonic stem cells (Hashmi et al., eLife 2022; Gsell & Tlili et al., Nature Physics 2025
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Engineering. SFBU's mission is to offer inclusive, innovative, and inspirational education for lifelong careers and our vision is to set the standard as a national model of higher education in service
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mathmatical modeling. The candidate should also have a PhD or other advanced degree in a food or engineering related field. Knowledge of food formulation, sensory analysis, extrusion technology, machine
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focus on traceability, verification, and reproducibility of AI-assisted software development processes. Modern software development increasingly relies on AI-based tools (e.g., large language models and
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automatically generated metadata based on semantic modeling, named entity recognition, and query expansion. 3. User-oriented and context-aware navigation. The third challenge of ARKEY is to enable archive users