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related field Strong background in numerical methods and machine learning Proficiency in at least one programming language (Python, Julia, C++, …) Good analytical skills Good organizational skills and
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Bayesian computational statistics, differentiable programming, and high-performance computing, the project aims to deliver robust, interpretable, and scalable methods for metabolic flux analysis. You will
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available in the further tabs (e.g. “Application requirements”). Objective The aim of this programme is to enable former scholarship holders of the “Development-Related Postgraduate Courses (EPOS)” to carry
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, or machine learning Solid mathematical and physics background, distinct analytical skills Very good programming (Python, C++) and computer (Linux, Windows) skills Excellent cooperation and communication skills
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programming (Python, C++) and computer (Linux, Windows) skills Excellent cooperation and communication skills You enjoy to work within a diverse team in an international and interdisciplinary environment Very
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available in the further tabs (e.g. “Application requirements”). Programme Description The yDiv Graduate School is looking for highly-motivated, international candidates from the Global South to apply
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Information 66% TVL-E13 Offer Starting Date 15 Jan 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research
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) 1-2 CSC-Felliowships as part of the FUB-CSC program for graduate students in humanities with a focus on German Studies from the People’s Republic of China Please note that the FSGS is a structured
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depending on the length of your chosen study programme or project Start: usually from 1st October of the following year after the application, or earlier if a German language course is taken prior
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) or earlier if a German language course is taken prior to the study programme The scholarships are awarded for the duration of the standard period of study for the chosen study programme (up to a