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across the department, but also introducing new engineering processes, such as Model Based Systems Engineering. Understanding the areas of potential engineering improvement in all the projects is a big
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strong understanding of computer hardware or VLSI design. The selected candidates will contribute to the development of: A Physical-to-Electrical Abstraction and Modeling Engine A Circuit-Level Abstraction
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Starrydata2). The work will include the implementation of machine learning models (neural networks, random forests, SISSO), generative approaches for predicting crystal structures, the use of machine learning
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of the ERC Consolidator project AUTOMATIX (see details below), we are seeking a PhD candidate to develop machine learning approaches for constitutive modeling. Context With the advent of machine-learning (ML
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Engineering, Biomechanics, Computer Science, or related field Preferred Experience: Experience with machine learning in medical imaging/biomechanics; grant writing support; clinical gait analysis in clinical
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balance fails in disease or injury and how it might be restored. For more information on our research interests, please visit https://www.zhulab.fish The lab uses larval zebrafish as a tractable and
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crane. The successful candidate will build reproducible machine learning pipelines, integrate detections into spatial ecological models, and generate conservation-relevant outputs for regional partners
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Learning and Control Laboratory , an interdisciplinary research group doing basic and applied research at the intersection of cybersecurity, control theory, and machine learning. Our vision is to develop
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Mathematics, or a related field A strong background in image/signal processing, particularly in computer vision. Strong programming skills and experience with at least one deep learning framework e.g
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working model that combines remote working with on-site work, according to organizational needs and the nature of the tasks involved. About the UOC A leader in e-learning, our pioneering university is a