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, computer science, natural sciences and engineering. Who can apply? The scholarship programme is aimed at high-achieving students from developing and emerging countries who would like to complete a Master’s degree in
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and Natural Sciences in the 2nd semester of their 2 year Master’s programme or 4th Semester of their 3 year MTech programme or in the 8th semester of an integrated / dual degree programme. What can be
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knowledge in toxicology (e.g. through advanced training courses, relevant study programme or work experience) Proficiency in written and spoken English Flexibility, team spirit and the ability to work under
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, relevant study programme or work experience) Proficiency in written and spoken English Flexibility, team spirit and the ability to work under pressure Desired Practical experience in cell culture Practical
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Financing yes Type of Position Full PhD Working Language English Required Degree Master Areas of study Physics, Experimental Physics Description Description For our BMBF-funded research project
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is funded by the German Ministry of Research, Technology and Space in the scope of the Fusion 2040 programme. After reaching scientific gain in laser-driven ICF experiments at the National Ignition
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the field of biotechnology, bio-/chemical engineering, (bio) process engineering, bioinformatics, biophysics or biomathematics. Ideally you have Programming skills and knowledge on machine learning and
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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 level of training for the chosen study programme (between 10 and 24
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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
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on collective dynamical phenomena of complex systems and networks with a focus on strongly externally driven systems; application to fields in physics, engineering and biology, developing a computational toolbox