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the undergraduate and graduate levels. Where to apply Website https://www.bth.se/english/vacancies/job/phd-student-position-in-software-engin… Requirements Research FieldComputer science » Computer systemsEducation
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national high-performance computing resources (Jean Zay). The position is based in Caen, a dynamic city located 2 hours from Paris. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR6072-FREJUR0
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, 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://resources.uta.edu/hr/services/records/compensation-tools.php CBC
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Post-Doctoral Research Visit F/M Postdoctoral position in web security, privacy, and online tracking
Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 8 days agoof publications in top-tier venues (A or A* conferences strongly recommended). - Technical Proficiency: Great understanding of the Web stack (JS engines, HTTP, browser APIs). Experience with crawling tools
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, particularly in materials science and related fields. The role is ideal for a researcher with a strong interest in both the philosophy and practice of science, who is motivated to build open tools, advance
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of laboratory equipment and machine tools, and work under the direction of the Research Laboratory Shop Supervisor. Duties and Responsibilities: Install, dismantle, maintain and repair fixturing used at Civil and
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:10.1093/nar/gkaf1388), we will develop machine learning tools to model microbial communities and their impact. The environment: The successful applicant will work within the Hildebrand and Traka groups
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to program and use command line tools, machine learning approaches and data visualization tools. Expertise in software engineering as well as a firm foundation in biological research are strongly preferred
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(machining) math, manual machining, CNC machining, Machine Tool Theory, CAD/CAM, and quality control. Communicates with students, departments, and university officials via university provided tools and
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sophisticated machine learning models to infer the location of hidden or obscured conductors. You will work in SSEN’s core asset data team, working collaboratively to develop tools and embed techniques to develop