916 machine-learning-"https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" uni jobs at Nature Careers
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(such as a laptop computer or tablet). Work may involve possible exposure to malodorous vapors, low dose radiation, contamination by toxic chemicals and acids and presence of carcinogenic substances or other
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research. Initially, jET interns will be dedicated to learning engineering tools and best practices by assisting staff engineers and scientists in ongoing work. Later on, jET interns will be expected to work
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(History, Archeology, …). Expected skills: The candidate should have a graduate degree (Master 2 degree). Him/her scholar background should include: • statistical/machine learning, statistical inference
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no.: 5452 Explore and teach at the University of Vienna, where over 7,500 brilliant minds have found a unique balance of freedom and support. Join us if you’re passionate about groundbreaking international
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positive and collaborative working environment. Foster innovation in teaching and learning by supporting faculty in pedagogical advancements and instructional technologies. Student Engagement and Success
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diseases, using primary hematopoietic graft products and genetically modified products for sickle cell disease and CAR T-Cell therapy applications. The Human Applications Laboratory is composed of two
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to integrating computational simulation, data science, and deep learning technologies to deeply explore structure–property relationships in materials. Its goal is to drive the precise design and development of new
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collecting relevant data from 2D, 3D or 4D images. Perform computer automated analysis and quality control on large data sets. Liaise effectively with other groups at Janelia to manage multiple image analysis
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Job description: The University of Vienna is a cosmopolitan hub for more than 10,000 employees, of whom around 7,500 work in research and teaching. They want to do research and teach at a place that
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and services by utilizing the computerized scheduling system in an accurate, efficient manner. Maintains scheduling (clinic-specific) information and computer knowledge to ensure safe and effective