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key leaders in the field of applied R&D. The main areas of activity will be, but not limited to: Chemical and biotechnological processes Urban mining Material processing technology Sustainable energy
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, signal processing, and data mining A strong background in programming, statistical analysis, and spatial modelling and mapping Highly motivated to work on the subject and eager to work in an
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for interacting with colleagues and stakeholders. Department Specifics Develop various machine learning and data mining models including convolutional neural networks (CNNs), Transformers, large language models
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Your Job: Lead the development and fine-tuning of AI models and LLMs specifically tailored for data mining in the physical sciences and engineering Fine-tuning and evaluation of open-source LLMs
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the operation, simulation, and/or data analysis of DUNE prototypes located at CERN. South Dakota Mines is located less than an hour’s drive from the Sanford Underground Research Facility (SURF), home of the DUNE
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Mechanical Engineering at #36 globally and the highest in Australia. Aerospace Engineering at UNSW was ranked #45 globally. For further information on our school go to - https://www.unsw.edu.au/engineering/our
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, AZ USA Position Highlights The ideal candidate will work with Dr. Bheemasetti in advancing the fundamental and applied research in the geomechanical behavior of geomaterials and mine systems
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Areas of research Geochemistry Sedimentology Georessources Job Description The Geology and Sustainable Mining Institute (GSMI) of the University Mohammed VI Polytechnic (UM6P) invites applications
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combine large-scale data, computational methods, and clearly articulated social-science theories to improve our understanding of society. Recent advances in machine learning, natural language processing
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Field: Mining Engineering, Industrial Engineering, Data Science Duration: 12 months, renewable once. Location: UM6P, Benguerir Campus Preferred Start Date: As soon as possible Context and Objectives