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Are doctoral positions paid? All doctoral positions are fully funded, including social benefits. Students also receive funding to attend conferences and other events related to their research, and have access to outstanding facilities. Do I need to know English? Yes, English is the institute’s...
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-source software development and industrially relevant applications. Tasks include: Development of molecular descriptors from protein structures and simulations Design and training of QSPR and machine
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sampling strategies in Python and C++ Apply your framework to analyse real biological datasets to demonstrate robustness, interpretability, and practical impact Contribute to open-source software tools
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are members of the Graduate School. The same goes for the doctoral fellowship program in software systems offered by MPI-SWS for those candidates in Saarbrücken. The Graduate School at Saarland University is
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into open-source software tools and data portals of the institute • Collaborate with internal and external, as well as national and international, project partners Present your results at national and
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conditions for you to complete your doctoral degree: The opportunity to work with world class technical equipment and infrastructure, innovative software technologies, and fascinating scientific data
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of bioengineering, computational biophysics, and data-driven modeling, with strong links to open-source software development and industrially relevant applications. Tasks include: Development of molecular descriptors
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demonstrate their potential in a Europe-wide ecosystem reanalysis. The outcomes will include open-source software, scientific publications, and a PhD thesis. Your tasks within framework in detail: Conduct a
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disciplines (meteorology, environmental science, high performance computing, software development and data science). Your Profile: Mandatory qualifications are: M. Sc. degree in meteorology, physics
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-source software, scientific publications, and a PhD thesis. Your tasks within framework in detail: Conduct a literature review on modern techniques for combining models with observational data, with a