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different model sizes and deployment settings. Apply and advance model compression techniques, including quantization, pruning, knowledge distillation, low-rank adaptation, and related methods. Conduct
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in practice conditions, will be modelled as event-like inputs that perturb the system and whose effects unfold over time. Time-independent predictors, including cognitive abilities, personality traits
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, or artificial intelligence. Knowledge of control systems, system modelling, and data-driven modelling approaches. Proven ability to discretise continuous-time models and implement real-time estimation algorithms
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computational electromagnetics and electromagnetic simulation techniques. Experience in AI-based RF transistor modelling is highly desirable. Solid knowledge of machine learning algorithms and their application
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 14 days ago
/Administrative Internal Number: 25565 POSTDOCTORAL ASSOCIATE, McGovern Institute for Brain Research and Department of Brain and Cognitive Sciences, to develop computational circuit models, analytical theory, and
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image analysis and animal models is desirable. We especially welcome applications from enthusiastic candidates with prior knowledge of a broad variety of laboratory research methods and human and/or mouse
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to the design, development and writing of research and knowledge exchange proposals. Essential Interview Experience of undertaking decision-analytic modelling for public health interventions using modelling
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of finite element modelling strategies (beam and continuum formulations) for the structural characterization of continuous fiber-reinforced additively manufactured prosthetic feet, with specific reference
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Veterinärmedizinische Universität Wien (University of Veterinary Medicine Vienna) | Austria | about 20 hours ago
the handling of animal data as well as deep knowledge in mathematical modelling and optimization. Thus, a master's degree in computer science or a related field is required. Main Research Field: Mathematical
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Vector, Vue.js 3, Node.js, Python, and JSON; Natural Language Processing (NLP) applied to collections; implementation of data pipelines using AI models, embeddings (RAG), and OCR; demonstrated knowledge in