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English PhD Research Fellow in Machine Learning and Statistics Apply for this job See advertisement About the position Integreat - the Norwegian Centre for Knowledge-driven Machine Learning
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different dyadic motor coordination tasks. A range of neurophysiological measures (EEG, ECG and fNIRS) as well as behavioural measures will be recorded simultaneously from both partners. Machine-learning
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advanced machining skills while supporting projects that advance discovery and learning. You'll join a collaborative environment where technical expertise is valued and where your craftsmanship helps turn
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) at UTEP (https://ece.utep.edu) offers B.S. and M.S. degrees in Electrical Engineering and Computer Engineering, and a Ph.D. in Electrical and Computer Engineering. The department has 25 faculty members
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additive manufacturing. The role will focus on thermal field modelling, multi-physics numerical simulations, machine learning and process parameter optimization. We expect the candidate to use data-efficient
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develop a new generation of hybrid models combining large-scale machine learning with physical knowledge to represent interactions between mobile robots and their environment. The research will address
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Engineering, we are seeking a researcher with a strong interest in developing and applying machine‑learning methods for materials design, in particular steel design. The position is part of our growing research
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watermarks. Publishing research in leading journals and conferences in speech, audio, and machine learning, and contributing to open-source releases of software, trained models, and reproducible research
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California State University San Marcos | San Marcos, California | United States | about 16 hours ago
for prior learning experiences, including military credit, industry certifications, standardized examinations, portfolio assessments, and other approved experiential learning pathways. In addition
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Required knowledge Skills Focus proficiency in one programming language (e.g. Matlab, R, Python), machine learning / deep learning / data science skills, basic understanding of cell and development