360 machine-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" PhD positions
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of mill and production operations. The scientific challenge will be to use the model and machine learning alongside live mill data (temperature, rolling loads etc) to reverse engineer the current
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conferences and contributing to collaboration between NIBIO, NMBU, and national and international research partners. Professional qualifications (required) A Master’s degree in machine learning, artificial
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advanced machine learning techniques Optical design and miniaturization of a novel spectroscopic sensor based on freeform optics, optimized for agrifood applications For this function, our Brussels
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machine learning. The project combines methodological research in statistics with applications to large-scale social science data. The successful candidates will have the opportunity to collaborate closely
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, a strong degree in computer science, cybersecurity, mathematics, or a related subject. Experience with cryptography, machine learning, or systems implementation is valuable, as are solid programming
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on futuristic technologies in the field of machine learning and computer vision. Hence, we investigate and develop an innovative computation-in-memory (CIM) solution for artificial intelligence accelerator design
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; profile root and leaf microbiomes using amplicon sequencing; analyse integrated microbiome and phenotyping datasets; contribute to machine-learning models predicting pathogen invasion success and plant
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software necessary to convert and process data (e.g. SAS, SPSS, Excel, Access, Dbase). Computer programming capability, including CATI programming software (especially for remote work), is an advantage
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 2 months ago
quantitative background and computer skills including programming experience; excellent academic record; and ability to work independently. PREFERRED: Research assistant experience; background in economics
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| Electrical and Computer Engineering Conducts advanced research and development in the Department of Electrical & Computer Engineering, with a primary focus on cathodoluminescence spectroscopy and the