24 parallel-programming-"Multiple"-"Humboldt-Stiftung-Foundation" PhD positions at Aalborg University in Denmark
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At the Faculty of Medicine, Department of Health Science and Technology, one or more PhD stipend’s are available within the doctoral programme: Biomedical Engineering and Neuroscience from
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At the Faculty of Engineering and Science, Department of Chemistry and Bioscience, a Ph.D. stipend is available within the general study program. The Ph.D. stipend is open for appointment from
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the Computer Science study program. The stipend is open for appointment from August 1st 2025 or soon thereafter. The PhD students will be working on topics within the general areas of formal methods, model checking and
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Design in accordance with the regulations of Ministerial Order No. 1039 of August 27, 2013 on the PhD Programme at the Universities and Certain Higher Artistic Educational Institutions. According
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processing, optimization, or information theory; Experience in programming, e.g., in C++, Python or Matlab. Experience with quantum simulators, such as NetSquid, is a plus; Familiarity with the basic concepts
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be enrolled in Aalborg University Business School’s Economics, Business, and Management PhD program. The position is part of the Carlsberg Foundation-funded Green Transition Policy Centre(GreenTraC
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of Ministerial Order No. 1039 of 27 August 2013(PhD Order). Application Please visit the website of the doctoral school for further information on the PhD programme, application procedure, and admission
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protein design programs and analysis tools is crucial. Knowledge of programs like Rosetta, RF-diffusion, FoldX and python is necessary. Apart from very good modeling skills, knowledge in protein production
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on the PhD programme, application procedure, and admission requirements. The application must include the following and be written in English or Danish: Copy of diplomas/transcripts List of written work
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Research, Computer Science, Mathematics, Applied Mathematics, or related fields. Proficiency in programming languages such as Python, R, or other programming languages. Familiarity with multi-agent systems