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degree qualifying them for PhD studies (Master’s) by the start of the programme or equivalent 300ECTS A strong academic record, motivation for research, and proficiency in English, our institute’s working
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students’ learning curves and furthermore emphasises Open Science education. The teaching programme is adapted to each doctoral researcher’s individual needs and academic background via an individual
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dynamical imaging in all areas of science, covering physics, chemistry and biology. 29 Interdisciplinary doctoral PhD projects in the fields of Ultrafast Science and Quantum Materials Research The program
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PhD fellowship at the Copenhagen Center for Glycocalyx Research at the Department of Cellular and Mo
note that your master’s degree must be equivalent to a Danish master’s degree (3 + 2 years). Certified copy of original Master of Science diploma and transcript of records in the original language
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master’s degree (or equivalent) in neurosciences, biochemistry, genetics, data science or related disciplines English (at least C1 level) Willingness to participate in prolonged research stays (secondments
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curiosity, innovation and entrepreneurship in all areas Personalized learning programme to foster our staff’s soft and technical skills Multicultural and international work environment with more than 50
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5,000 square metres, including innovations in all that we do An environment encouraging curiosity, innovation and entrepreneurship in all areas Personalized learning programme to foster our staff’s soft
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) and German (desired) High motivation for scientific work and willingness to work in an interdisciplinary team WE OFFER: A broad education and training in the structured graduate programme of our highly
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of the RTG Collaborating with other project partners of the RTG Active participation in the structured training program of the RTG including ring lectures, research and PhD seminars, specialization courses
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more information, please visit our website: www.uni.lu/snt-en/research-groups/finatrax/ The candidate will be enrolled in the PhD program in Computer Science and Computer Engineering with specialisation