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of Barcelona; Particle Physics Phenomenology group. Main responsibilities / tasks: 1. Develop anomaly detection methods using Machine Learning and Simulation-Based Inference for high-dimensional parameter spaces
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. Preferred Computer Applications: Microsoft Outlook Preferred Other Computer Applications: Autocad Preferred Additional Knowledge, Skills and Abilities: Email to a Friend https://unmc.peopleadmin.com/postings
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expertise. 2. Curriculum Vitae including a list of publications (maximum 3 pages). Where to apply Website https://jobrxiv.org/job/phd-position-in-machine-learning-and-ecology/?utm_sourc… Requirements
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nanoparticles. The project is a collaboration between researchers in the Schools of Chemistry and Computer Science, combining cutting edge machine learning methods with world-leading electron microscopy
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manufacturing and manufacturing process. Are you a postdoctoral researcher or a PhD candidate who is about to graduate and has a passion for metal additive manufacturing, machine vision, data acquisition
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of methodologies and technologies for the in situ exploration and characterization of lunar resources, with a particular focus on water, rare earth elements, rare metals, and platinum group elements (such as nickel
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, and mentor graduate and undergraduate students, and may also teach one course per year for the Department of Statistics. A Ph.D. in Statistics, Biostatistics, Machine Learning, or a directly related
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 7 hours ago
element of the terrestrial carbon cycle. NASA's Goddard Earth Observing System Model (GEOS) utilizes the Quick Fire Emissions Dataset (QFED) to represent emissions from vegetation fires in order to model
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internationally regarded research and share responsibility for elements of undergraduate and postgraduate teaching programmes. You will be awarded a training contract with Health Education England Northwest in
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numerical modelling computer aided techniques such as Finite Element Analysis – ANSYS; selection and application of wear-resistant materials including the implementation of heat treatment processes to improve