229 application-programming-android-"Prof" positions at Technical University of Denmark
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modelling, advanced machine learning tools, etc. We welcome applicants with a strong academic background within engineering or applied science, whose expertise supports the development of resilient and
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decision-making in chemical engineering research and teaching. To support this effort, we invite applications for 1-2 PhD students (3 years). You will become part of a small, cross-disciplinary team working
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throughout funding application processes, particularly by providing feedback and input for the business plan components of an application. Assessing opportunities for company growth, whether through
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Research experience and plan (Please describe your previous research projects and propose research activities in the field of membrane technologies Applications received after the deadline will not be
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explored using scientific machine leaning. Machine learning, programming experience and a curious mind-set You are fascinated by how computers can learn from data and you have a strong interest in the
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aspects. The project will also explore efficiency and post-quantum security, aiming to bridge theoretical advances with their relevance to practical applications. You will join the growing cryptography team
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Job Description Do you want to grow as a scientist and become a microbiome researcher at the best technical university in Europe? Do you want to hone your scientific skills and use programming
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Job Description At DTU Space Ventures, we manage the ESA Business Incubation Centre and the ESA Technology Broker — two programs from the European Space Agency that help startups and companies turn
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. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education . Assessment The assessment of the applicants will be made by
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, with a particular emphasis on column generation approaches. Column generation is a powerful decomposition method for solving large-scale linear and mixed-integer programming problems. Rather than