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EU MSCA doctoral (PhD) position in Materials Engineering with focus on computational optimization of
MSCA doctoral (PhD) position in Materials Engineering with focus on computational optimization of additively manufactured Mg alloys for biodegradable implant applications. Host: Helmholtz-Zentrum Hereon
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research environment is highly collaborative and interdisciplinary, spanning genome biology, computational analysis, and translational cancer research. Members of the lab gain expertise in next-generation
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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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thinking. High level of English Advantageous: Experience in cancer nanomedicine. Experience in programming, mastering skills in data analysis. High level of optical microscopy, medical imaging experience. We
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to gather requirements and report findings. A key aspect of the role involves implementing and open-sourcing proof-of-concept software tools, alongside collaborating with other researchers within the program
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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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DTU’s Tenure Track program. Read more about the program and the recruitment process here . You can read more about career paths at DTU here . Further information Further information may be obtained from
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EU MSCA doctoral (PhD) position in Materials Engineering with focus on mechanistic study of biodegra
Actions) doctoral candidate, you must i) not have a doctoral degree at the date of recruitment, ii) not be enrolled in a doctoral program, and iii) comply with a mobility rule requiring you to not have
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systems that mimic such conditions. The successful applicant will thus join an exciting research program in a dynamic working group to investigate the molecular mechanisms on how small DNA tumor viruses
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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