284 programming-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" "Inserm" positions at DAAD
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available in the further tabs (e.g. “Application requirements”). Objective This scholarship programme offers you the opportunity to complete your doctoral degree in Germany. The scholarships are funded by
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academic degree) in the field of Economics and Business Administration at the latest by the time you commence your scholarship-supported study programme. What can be funded? A complete Master's degree
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60% of the coursework in their degree program. What can be funded? A study semester at a German university, followed by a 4 to 6 month internship in a German company Duration of the funding 12 months
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available in the further tabs (e.g. “Application requirements”). Objective This programme aims to deepen knowledge of the German language (general language, technical language) and regional studies. Who can
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available in the further tabs (e.g. “Application requirements”). Programme Description The scholarships are aimed at Master's and PhD students in the following disciplines: natural science, pharmacy or data
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a strong focus on translational research You will be a member of the graduate program at TUM, which will give you the opportunity to participate in various workshops (scientific and soft skills
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available in the further tabs (e.g. “Application requirements”). Programme Description Up to 120 sponsorships for young graduates from 50 nations are awarded every year by the German Federal Parliament
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omics or brain imaging data Strong proficiency in written and spoken English Desirable Statistical knowledge and experience with R programming Strong analytical skills, independent and critical thinking
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Experience in wet lab work High level of motivation and initiative, strong academic research orientation Communication and teamwork skills Fluent written and spoken English Data analysis and programming skills
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available in the further tabs (e.g. “Application requirements”). Programme Description The Jeff Schell Fellowship can be granted to MSc and PhD students from all fields of natural science and data science