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devices for research and educational endeavors; Render 3D models of parts for prototyping/assemblies, reference, and billing; Design/generate part models utilizing CNC and other computer-aided manufacturing
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at the intersection of scientific computing and machine learning. At a high level, the project is to build neural network models of potentials that appear in Hamiltonians for time-dependent quantum systems. The postdoc
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possible. The multi-dimensional nature of the model likely necessitates a machine learning based approach, yet should be minimally capable of running on the edge, ideally of running on power-efficient
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large scale flow network simulations, machine learning, and methods from topological data analysis, to a broad set of problems. Examples include modeling vertebrate and invertebrate circulatory systems
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Learning, or related fields, completed by the start date. Experience A strong foundation in core AI methodologies—machine learning, deep learning, NLP—coupled with hands-on expertise in Python, PyTorch, and
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apply electrochemical impedance spectroscopy (EIS) directly during the disassembly process to classify the cells for their reusability. A pre-trained machine learning model for assessing cell condition
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configurations and illumination conditions. Implement and validate device-independent representations. Investigate and apply domain adaptation and transfer learning techniques to develop models that generalize
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impulsar el conocimiento y la innovación en el ámbito de la inteligencia artificial aplicada. The selected candidate will actively participate in R&D&I projects related to data science, machine learning
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biologically-constrained machine learning–based model discovery pipelines to derive interpretable surrogate ODE/PDE models from simulated ABM data and spatial-omics data collected from state-of-the-art
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on the electrical machine optimization to achieve high energy-efficient drive system. The practical part of the work will be testing the control model with a prototype machine in the research laboratory. Research