96 cloud-computing-associate-professor PhD positions at Technical University of Denmark
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the relevant union. The period of employment is 3 years. You can read more about career paths at DTU here . Further information Further information may be obtained from Associate Professor Sankhya Mohanty, samoh
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of the PhD study programme, please see DTU's rules for the PhD education . Assessment The assessment of the applicants will be made by Professor Joerg Jinschek. We offer DTU is a leading technical university
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areas: Knowledge of computer science and operations research Familiarity with renewable energy systems and their challenges Proficiency in programming languages such as Python or Julia Strong problem
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Job Description DTU Management would like to invite applications for a 3-year PhD position starting no later than October 1st, 2025. You will work under the supervision of Associate Prof. Filipe
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Bioengineering aiming to design novel Carbohydrate-Active enZymes (CAZymes) de novo (from scratch). Using state-of-the-art AI-based protein design tools, the project integrates computational design with in vitro
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. The overarching goal of this newly funded project is to realize quantum light sources coupled to quantum memories. Quantum memories are key components of optical quantum computers and scalable quantum networks
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when high-quality DNA or close reference genomes are unavailable. As part of a Novo Nordisk Foundation-funded project, you will design and implement computational pipelines, conduct comparative
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in machine learning and artificial intelligence Experience with numerical analysis and scientific computing Knowledge of power systems and renewable energy technologies Experience in power system
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the candidate will be 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
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on associations between exposures and health outcomes. However, the supporting systematic reviews can become outdated quickly, particularly when review conclusions are highly sensitive to just one or a few studies