144 assistant-and-professor-and-computer-and-science-and-data PhD positions in Denmark
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candidate will be enrolled in one of the general degree programs at DTU. For information about our enrolment requirements and the general planning of the PhD study program, please see DTU's rules for the PhD
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whether techniques from AI and data science can be used to organize feasible solutions and extract knowledge. In particular, the explainability of proposed solutions should be investigated. You will join a
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DTU, Department of Civil and Mechanical Engineering , the Section for Manufacturing Engineering invites applications for a PhD position (3 years) on the topic of simulation of process induced
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such as the Web of Science and the Danish register data. A few start-up interviews (max. 15) with people from evaluation committees, employees from The Danish Innovation Fund as well as prior applicants may
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. Completing courses and training required for being awarded the PhD degree. Design and perform strain engineering works in Bacillus. Perform OMICS data analysis, especially RNAseq analysis. Specific
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PhD degrees in computer science, a BSc in artificial intelligence, and an MSc degree in data science. The project is supervised by Stelios Tsampas (stelios@imada.sdu.dk ) and Marco Peressotti
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information for international applicants about entering and working in Denmark. You may also visit WorkinDenmark for additional information. Further information about The Faculty of Engineering. About Us The
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information For further information about the position, the Morality of Extreme Wealth project, and the SDU Philosophy Section, feel free to contact Associate Professor, Lasse Nielsen (lasseni@sdu.dk
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salary and excellent conditions to excel in their research. Further information is available Associate Professor Samaneh Sharbati, phone: +45 65 50 82 60, email: sharbati@sdu.dk If you experience technical
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. You should have a strong academic background in engineering, applied mathematics, or computer science, combined with a clear interest in scientific programming, machine learning, and data analytics