91 programming-language-"UCL"-"UCL" research jobs at Technical University of Denmark in Denmark
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thin-film lithium niobate for cluster state generation. In common for the three projects: Develop new quantum computing protocols using CV states of light and hybrid detection technologies. Plan
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Development and Demonstration Programme. The position is affiliated with the Section for Mechanical Technology and will be under the supervision of Associate Professor Jonas Sundberg. The project focuses
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are looking for two new postdocs. You will join a new research program on the role of universities and entrepreneurial ecosystems in building deep tech startups and scaleups. You will work towards building a
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optimisation, hands-on experience from modelling membranes with CFD software tools such as ANSYS Fluent, and proficiency in programming languages such as Python, MATLAB, or similar. You must contribute
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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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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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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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", fill out the online application form, and attach all your materials in English in one PDF file. The file must include: Application (cover letter) CV Academic Diplomas (MSc/PhD – in English) List
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and scientific publications. Desired personal characteristic Honest and transparent Self-motivated and eager to learn Strong communication skills in English (written and spoken) Ability to work
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experience in quantitative modelling, preferably using R. Is fluent in English (spoken and written) and has good communication skills. Is enthusiastic about developing replicable models to address complex risk