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at Humboldt-Universität zu Berlin funded by the German Academic Exchange Service (DAAD, Graduate School Scholarship Programme). The scholarship of up to four years includes a monthly instalment, language
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at the application deadline. Incomplete applications cannot be considered by the DAAD. Language skills Language skills (German or English) according to the requirements of the desired study programme have to be proved
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the use of large language models to support neural network design and data preprocessing. The position involves close collaboration with experts in cardiovascular simulation and Scientific Machine Learning
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. or equivalent) in applied mathematics or in computational engineering science, computer science, simulation science with a strong background in applied mathematics Excellent programming skills (Python, C/C
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results Your Profile: A Masters degree with a strong academic background in physics, mathematics, computer science, or a related field Proficiency in at least one programming language (Python, C
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. Your Profile: A Masters degreee with a strong academic background in physics, mathematics, computer science, or a related field Proficiency in at least one programming language (Python, C
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field Proficiency in at least one programming language (Python, R, C++, Julia, …) Good analytical skills with a sound understanding of data evaluation Prior experience with single-cell data analysis
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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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depending on the length of the chosen study programme or project Start: usually from 1st October of the following year (depending on the start of your study programme), or earlier if a German language course
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one programming language (Python, Matlab, R, C++, Julia, …) Good analytical skills with a sound understanding of data evaluation Knowledge of numerical simulation, for example with land surface