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department with broad interests in biotechnology and synthetic biology across all domains of life. The research is funded as part of the NWO Open Technology Programme, and will involve collaboration and
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for the completion of the PhD program.•Access to world-class ‘soft-skill’ supplementary training courses provided by KU Leuven.•The opportunity to travel and collaborate with several international research groups
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philosophy, and a CV including education, publications, talks, and relevant experience. REQUIRED: PhD in Physics, engineering, computing, math, science, humanities, or social sciences with a minimum of eight
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Requirements Student enrolled in a PhD programme in Electrical and Computer Engineering Selection process Contest Evaluation Method(s) Curricular evaluation weighted to 50% on a scale of 20 points with a minimum
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An Information Theoretic Approach to the Smart Grid School of Electrical and Electronic Engineering PhD Research Project Self Funded Dr Inaki Esnaola Application Deadline: Applications accepted all
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- 10 Additional Information Eligibility criteria PhD in Chemistry Selection process evaluation of the electronic application, interview https://www.ubbcluj.ro/ro/infoubb/posturi_vacante/files/cercetare
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conduct world-class applied research. We change and make a difference. Do you want to become one of us? The PhD position is located within Department of Computer Science (DIDA) SDS (secure and distributed
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team working on this project, which consists of two PhD researchers and one postdoctoral researcher Mentor students Previous experience on High Performance Computing is desired. The preferred candidate
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FieldEngineering » Communication engineeringEducation LevelPhD or equivalent Skills/Qualifications PhD in Computer Science, Information and Communication Systems Engineering, Telecommunications, or a closely related
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Electronic Engineering, Computer Science, Mechanical Engineering or related field 3-year research experience in related area Expertise in robotic manipulation systems Knowledge in robotic foundation models