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Languages All seminars and courses are held in English. German language courses are offered. Full-time / part-time full-time Programme duration 6 semesters Beginning Winter semester Additional information
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University Bremen Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research Teaching language English Languages 100% English Full-time / part-time full-time Programme duration 6 semesters
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collection programs (e.g. R, fomr) Very good English and German skills (or willingness to acquire them) Interest in media communication We offer Part of a young and dynamic Emmy Noether Research Group Diverse
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is advantageous knowledge and experience in evaluating scientific data, primarily from imaging techniques, is advantageous good written and spoken English teaching experience in the subjects of “Animal
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with lab work and designing experimental setups. Proficiency in data plotting, along with experience in programming languages such as Python or MATLAB and familiarity with CAD software is considered
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skills. You are willing to travel at home and abroad. What you can expect You will work with one of the most popular employers on par with the best. Open-minded colleagues are happy to welcome new talents
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that demand interdisciplinary solutions? Then the Program for Collaborative Doctoral Projects is the perfect opportunity for you. Many of today’s most pressing problems can only be tackled through
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Collaborative Doctoral Project (PhD Position) - AI-guided design of scaffold-free DNA nanostructures
, applied mathematics, or a relevant engineering discipline Good programming skills and experience with numerical modeling Interest in performing experiments Excellent written and spoken English skills High
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; Experience with HPC, programming (e.g., Python, C/C++), and/or scientific computing is a plus Strong interest in quantum computing and molecular simulations Willingness to work in an interdisciplinary
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Senior Scientist / Group Leader on Bioinformatics / Computational Biology on RNA Regulation in Disea
experience with programming languages such as Python, R, or Julia and bioinformatics tools Familiarity with cloud computing and high-performance computing (HPC) environments Strong analytical and problem