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doctoral programme in Health Data Sciences for outstanding junior researchers is to provide a structured framework of studies, research, and teaching for promising scientists in the disciplines of Health
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Medicine Leibniz Institute for Molecular Pharmacology Max Planck Institute of Human Development Teaching language English Languages English (100%) Programme duration 6 semesters Beginning Only for doctoral
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Engineering, Operations Research, Civil Engineering, Computer Science, Data Science or a related field, from a university/department with a strong international research reputation Strong mathematical and
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Max Planck Institute for Heart and Lung Research • | Bad Nauheim, Hessen | Germany | about 22 hours ago
of molecular, cellular and organ biology. Research is at the core of this doctoral programme. The thesis research will be carried out under the direct supervision of one member of the IMPRS faculty. Our IMPRS
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13 Oct 2025 - 21:59 (UTC) Type of Contract To be defined Job Status Other Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
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Your Job: As part of a collaborative research project funded by the Federal Ministry of Research, Technology and Space (BMFTR), and conducted in cooperation with academic and industrial partners
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Berlin, and the Max Planck Institute in Hamburg. Our work combines physics, chemistry, and materials science – pushing the frontiers of quantum materials research. The overarching goal of the Collaborative
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programme offers comprehensive training to both national and international doctoral candidates in various aspects of cardiovascular science. From cardiology to vascular and cardiac surgery, including
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publications and project reports Support in establishing the institute Your Profile: Master`s degree in physics, chemistry, materials science, chemical engineering, or a related discipline Extensive knowledge
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a world-class doctoral training programme in risk assessment, resilience engineering, and smart technologies. Its scientific vision targets: (1) the development of a holistic multi-hazard risk