152 programming-languages-"the"-"CNRS"-"U"-"UCL"-"FEMTO-ST-institute" positions at Technical University of Denmark in Denmark
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to work independently within a dynamic research environment Willingness to collaborate with other research groups Excellent skills in written and spoken English You should strive for scientific excellence
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English. If you don’t meet all the qualifications listed above but are passionate about the research topic and believe you can contribute to the project, we encourage you to apply! This position offers
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, entrepreneurship, and work-life balance. Be part of a university that values innovation, societal impact, and diversity. In this position you will develop and lead a research program focused on applying quantitative
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: Develop and refine experimental tasks. Manage collaborations with external partners. Plan and execute analysis strategies. Work with large datasets and apply advanced analytical methods. Contribute to both
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at Dartmouth College (USA). To follow the DTU program, you will be granted a unique study environment, together with several PhDs and Post Docs in related fields. Your primary tasks will be to improve
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contribute to teaching at the Department. DTU employs two working languages: Danish and English. You are expected to be fluent in at least one of these languages, and in time are expected to master both. As
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MARC, MSC ADAMS). Sharing best practices in modern software development (version control, code quality, cloud-based deployment, cross-language interoperability) with colleagues working in the department
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enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education
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Good level of English proficiency (understood, spoken and written). Team spirit and proactive attitude As a formal qualification, you must hold a PhD degree (or equivalent). We offer DTU is a leading
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knowledge of production engineering technologies and manufacturing systems for subtractive manufacturing. Strong knowledge of process monitoring, manufacturing metrology, and programming tools such as Matlab