901 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" uni jobs at Nature Careers
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for learning and growth, you can shape a career path that is right for you while also enjoying all the benefits and stability of working for a world-class institution. This includes work-life balance with
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no.: 5307 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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building projects required. Experience with computer-aided drafting (AutoCAD) and Microsoft Office (e.g., Excel, Word, PowerPoint). Familiarity with current technical environmental impact assessment
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learn microinterventions, such as taking blood samples from specific vessels of mice. Experience and FELASA-B certificates are an advantage. MS Office skills; experience with image processing software is
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fellows at the University of Tennessee Health Science Center. Fellows receive a competitive salary, professional development allowance, a personal computer for use during the fellowship, tuition assistance
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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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to shaping the learning and living environment of schools on the basis of scientific expertise. Your personal sphere of influence: The advertised position is located at the Center for Teacher Education and is
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for engineering biology. GBI researchers will also be supported by cutting edge facilities including mass spectrometry, flow cytometry, sequencing, automation, scientific computing, bioinformatics, and machine
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to teach an undergraduate course focusing on essential principles of effective teamwork, leadership, communication, and conflict resolution, with a special emphasis on the role of Human-Centered AI in
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to teach an undergraduate course, "From Vision to Execution," focused on core project management principles for AI-driven projects. The course emphasizes applying both traditional and agile methodologies