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interpretable machine learning, System integration implementation, Test environment configuration, Validation and stress testing, Deployment and configuration in test environments, Component restructuring, review
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research team as a Research Engineer. The successful candidate will support ongoing research initiatives by applying advanced machine learning, NLP, and large language models (LLMs) to develop next
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and enabling commercial deployment. The work will integrate model based design of experiments, machine learning, hybrid and kinetic modelling (digital twin development), process design, simulation and
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Geoscientist for developing and integrating large-scale 3D geological models of the Swiss Alps
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, digital twins, and machine learning into process systems of industrial and societal relevance. Furthermore, we expect research proposals to align closely with the UN Sustainable Development Goals and to
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that protect U.S. farmers, livestock, and food security. Learning Objectives: Under the guidance of a mentor, the participant will have the opportunity to: Develop and refine computational models to predict
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for Humanities Computing, Aarhus University, focusing on investigating and developing NLP and AI technologies. Our research areas include model evaluation and post-training, representation learning, and the
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evaluate statistical and machine learning models that translate ANC malaria data into actionable estimates of transmission intensity and burden. This will include working with time-series and geospatial data
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foundation models Cross-modal representation learning and alignment Multimodal dialogue systems and conversational agents Multimodal reasoning, summarization, and question answering Low-resource, fair, and
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intelligence, machine learning or related fields; Proven experience in research work on AI models, in particular in the field of explainable AI, synthetic data generation or model testing; Proficiency in