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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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of Business Intelligence (machine learning & LLM) to enhance the sustainability of regional tourism. On the supply side, a monitoring system is developed by extracting data from online platforms such as Google
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clinical features using machine learning and foundational modeling approaches. This work supports disease modeling across chronic kidney disease, acute kidney injury, cancer, and neurological conditions. A
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California State University, Northridge | Northridge, California | United States | about 16 hours ago
data solutions. Expert knowledge of data modeling, statistical analysis, machine learning, and optimization techniques. Expert in leading and executing complex, high-impact data analytics projects and
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supervision PGT teaching (either as part of a team or as an individual) A core expectation of the post-holder will be to provide engaging and high-recruiting teaching on modern military and/or diplomatic
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an open working model that combines remote working with work on-site, according to organizational needs and the nature of the tasks involved. About the UOC A leader in e-learning, our pioneering
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the application of these methods to problems in the physics of oxides, semiconductors, metals and their surfaces. Machine learning methods are used to close the complexity gap. Currently, the group consists
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-driven decision making and operational improvement. Provides expertise in data science, statistical modeling, and machine learning to solve complex problems and deliver measurable value. Ensures alignment
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research interests, career aspiration. Job Summary The Kaczorowski lab is seeking a computational biologist who is active at the intersection of single-cell biology and machine learning to join our group
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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