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Description Completion of doctoral thesis related to: Process and analyze experimental data. Develop predictive models using deep learning. Train, validate, and optimize neural networks (CNNs, etc.) applied
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to: -Identification and analysis of existing quality evaluation frameworks and models for the assessment of interlingual live captions, including the most frequent workflows used and in varied language pairs (EN-ES, EN
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, Shanghai 200433, China [map ] Subject Area: Model Theory Starting Date: 2026/09/01 Appl Deadline: 2026/05/17 11:59PM (posted 2025/11/19, listed until 2026/05/17) Position Description: Apply Position
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to the understanding of physical mechanisms underlying these complex plasmas. The laboratory team has extensive experience in both experimental and modeling of this type of plasmas. Thus the candidate will have existing
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, coordinating, delegating and evaluating the nursing care of patients in alignment with the professional practice model. Minimum Qualifications Degree in Nursing from a CCNE (Commission on Collegiate Nursing
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fabrication, including MOCVD, a fiber drawing tower, and a range of fiber characterization equipment. For more details, please view: https://www.ntu.edu.sg/eee We are hiring a Research Fellow in the area of
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Infrastructure? No Offer Description This project is part of the European ERC Synergy project Karst https://erc-karst.eu/ , which aims to develop a predictive flow model for an entire karst network. We will
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=false , https://link.springer.com/article/10.1186/s13059-025-03692-6 , https://link.springer.com/article/10.1186/s13059-023-03064-y ), Linear Mixed Models and GWAS. ● Familiarize with the sequencing
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of animal models of stress and anxiety and requires the analysis of multimodal high-throughput molecular and behavioral data, to deconstruct the underlying mechanisms responsible for antidepressant treatment
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solutions, focusing on building robust data pipelines, creating efficient machine learning models, and integrating AI capabilities into existing systems to improve efficiency, accuracy, and service quality