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-102 You will only be awarded a scholarship position if you are admitted to our PhD Logistics programme. For further reading about this programme visit https://www.himolde.no/english/studies/programmes
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. Full-time / part-time full-time Programme duration 6 semesters Beginning Only for doctoral programmes: any time Application deadline January, please see website for exact date Tuition fees per semester
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professionally relevant background in vocational education and training, educational science or another relevant field. Your education must correspond to a five-year Norwegian degree program, where 120 credits
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submit NOKUT approval of their master’s degree The grades at the qualifying MSc examination needs to be B or better (ECTS scale from A-E) to be admitted to the PhD program. See admission requirements: PhD
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AIPhD in computational modelling RAM³ is a WASP-WISE NEST project This recruitment is connected to the Wallenberg Initiative Materials Science for Sustainability All early-stage researchers recruited
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or international equivalent in an appropriate subject, including: biomedical sciences, medical physics. Further qualification such as an MRes is advantageous. If your first language is not English, you need
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(physics, mathematics, engineering, computer science, or related subject) Proficiency in English (both oral and written). Knowledge in cryptography is desirable. Studentship and eligibility The studentship
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Max Planck Institute for the Physics of Complex Systems • | Dresden, Sachsen | Germany | about 17 hours ago
Full-time / part-time full-time Programme duration 6 semesters Beginning Other Additional information on beginning, duration and mode of study Flexible, but usually in spring or autumn Application
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Max Planck Institute of Animal Behavior • | Radolfzell am Bodensee, Baden W rttemberg | Germany | about 17 hours ago
opportunities are provided for those that are keen to share their skills. Special promotion / funding of the programme IMPRS Course-specific, integrated German language courses No Course-specific, integrated
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machine learning, computer vision, and materials science. The focus of this position is on development of neuro-symbolic models for the effective behaviour of the complex microstructure of recycled