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manufacturing principles. Experience with machine learning methods and integration into hybrid modelling systems Demonstrated ability to clearly communicate research concepts and results in high-quality journal
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(PDE). Examples of models in the scope of the project include particle models, stochastic PDE and models from fluid dynamics and machine learning. Place of work is the Department of Mathematics, Blindern
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Learning for Foundation Models’, where the aim is to adapt these models to new tasks without forgetting previous knowledge. The precise focus of the project can be defined in collaboration with
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Development • Collaborate with faculty and research teams to design and deploy AI-based monitoring systems for shrimp and fish culture • Develop machine learning models for automated detection of feeding
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. The research in the PhD project will focus on core spatio-temporal machine learning method development, including: generative models for grid-based and particle-based spatio-temporal data; controlled generation
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 12-Dec-25 Location: Boston, Massachusetts Type: Full-time Categories: Academic/Faculty Computer/Information Sciences
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Simulation) will support a one-year applied research project and evaluate a mobile DC microgrid for military tactical applications. The role involves developing detailed power system models in ETAP and MATLAB
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water quality parameters and predict cyanobacteria blooms in the Tietê system reservoirs. Activities: 1. Develop machine learning models for estimating water quality parameters via remote sensing; 2
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Engineering and Systems Data Science / Computer Science , Machine Learning Appl Deadline: 2025/11/10 11:59PM (posted 2025/09/24, listed until 2026/03/24) Position Description: Apply Position Description Duke
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experience in areas that align with the faculty (https://neuroscience.barnard.edu/people ), specifically in the areas of vision, learning, and development at the molecular, cellular, systems, cognitive