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Your Job: We are looking for a PhD student in machine learning to work within a project linked to the “Helmholtz School for Data Science in Life, Earth and Energy (HDS-LEE)”. Your Job: Develop
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will be part of a dynamic community and participate in the school’s interdisciplinary training program, including hands-on training in small groups, summer schools, networking events and hackathons
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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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models, which are essential for understanding climate change impacts. The work involves reviewing existing modeling and model–data fusion techniques, and developing faster, machine-learning–based tools
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(Deutsche Bundestag). The sponsored students are invited to Berlin for a period of 5 months. They take part in events and seminars during this time and complete a 3-month work placement with a member of the
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. This can be either a study year in Germany as part of your study programme at your home university or an independent project or complementary study course with a professor/an instructor in Germany. The
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health, accident and liability insurance A study and research allowance Application Papers Required application documents: Research proposal (max. 2-3 pages) Schedule of planned research work, including
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The Saarbrücken Graduate School of Computer Science provides an optimal environment for pursuing doctoral studies in computer science at an internationally competitive level. As a student, you
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’. Certificates, proof of credits, certifications and translations may be scanned in non-certified form and uploaded to the DAAD portal. DAAD's Head Office in Bonn will only request certified copies
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transition metals and heavy p-block main group metals in the broader context of functional group transfer and catalysis. The projects will involve visits to international collaboration partners. The successful