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microdroplets, microfluidic channels and real porous building materials (limestone and sandstone) under controlled environmental cycling that simulates realistic heritage environments. Using advanced imaging and
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. Photoacoustic sensing (introductory video: https://youtu.be/2f3V0DQNLYg ) is based on a transformation of absorbed optical energy into ultrasound waves, when a transient optical excitation is used. The optical
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Biological Sciences (SEBS) and the New Jersey Agricultural Experiment Station (NJAES). Provides consultative services to faculty to meet their computational needs in areas of bioinformatics, including modeling
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the project SOMIPs - Simulation, Optimization and Monitoring using AI-based Digital Twin Technology for Incineration Plants The call is governed by this Notice of Opening, the University of Coimbra Research
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command of data wrangling, cleaning, and large-scale dataset management. Machine Learning/Deep Learning: Experience with PyTorch, TensorFlow, or Hugging Face; embedding models; and model validation
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management, knowledge bases, ticketing systems, and communication platforms. Deploy models to production environments following established MLOPs practices and ensuring appropriate monitoring. Performance
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role in developing and maintaining web applications, designing, automating, and managing scalable infrastructure and deployment pipelines, and building AI features. Integrates large language models and
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work in the national Fuel Cell System Laboratory at IFE, Kjeller. The position’s field of research The position has the working title “Modelling of Advanced Maritime Power System” and will work within
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controls. The position will require programming skills, mostly with Python. To understand the vision of beamline operations inspiring this opportunity, see these two recent publications: https://doi.org
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involve investigating and developing methods that will allow AI-based models to identify subsets of data with the highest potential for reducing uncertainty of model outputs, leveraging and building