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fields : Computer Vision, Machine Learning, Pattern Recognition • Strong programming skills in Python • Good knowledge of Linux tools and environment • Autonomous and rigorous • Curiosity and creative
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the interface of machine learning and biology (tools developed by the team: https://github.com/cantinilab). The team is composed of 8 people : 3PhD students, 3 post doc, 1 research engineer and 1 assistant
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power user of the University’s content management system (Modern Campus CMS), capable of building, editing, and optimizing web pages using templates, widgets, media assets, and other CMS tools. Advise and
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eligible for, including health insurance, retirement plans, and paid time off. To access this tool and learn more about the total value of your benefits, please click on the following link: https
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for the captioned post. Duties and Responsibilities Develop and apply advanced artificial intelligence and machine learning models to real-world data (RWD). Create innovative tools and solutions to extract deeper
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with IT, AV and plotters within the Computer Labs and further technical facilities. Skills, Experience & Qualification needed Proven experience with traditional and digital fabrication tools (e.g
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upon in the event of an emergency and/or university closure. Duties may include: Perform routine and preventative maintenance of systems, tools, equipment and vehicles Locate irrigation lines, sprinkler
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for the development of digital forensic tools for prevention, detection and prioritization in Spain (ONSEXGROOM:ES) https://www.upv.es/entidades/SRH/conypi/A1272732.pdf Where to apply Website https://sede.upv.es
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. This researcher will broadly support research at the intersection of cell, molecular, and developmental biology using quantitative imaging tools. RESPONSIBILITIES: 50%: Maintain, operate, and provide training
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equipment and tools. Ability to follow written and oral instructions, and build understanding of procedures for working at an historic site. Required Experience: Experience using power and hand landscape