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) and handling big data (sequencing, mass spectrometry, or similar) • Enthusiasm and background in establishing techniques in molecular biology, data management (big data, sequencing analyses) and related
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for more than 3,500 treatment courses, aligned with the OMOP Common Data Model and robust data-quality rules Develop and evaluate agent-based AI functions for therapy-sequence support, clinical-trial matching and
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German Cancer Research Center in the Helmholtz Association (DKFZ) | Oettingen in Bayern, Bayern | Germany | 3 months ago
experience and an interest in developing your bioinformatic skills. Requirements: The position requires an excellent understanding of molecular biology, with demonstrable experience in custom sequence library
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across multiple model systems. These observations raise fundamental questions: what endogenous small molecules sustain proteostasis during aging, can their supplementation prevent neurodegenerative (and
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Research Center Borstel - Leibniz Lung Center | Hamburg Gro Borstel, Hamburg | Germany | 2 months ago
biology • Basic knowledge of and strong interest in next-generation sequencing (NGS) data analysis • Proficiency in at least one programming language, preferably Python and/or R, and routine use
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Max Planck Institute for Solid State Research, Stuttgart, Hamburg, Halle, Dresden | Dresden, Sachsen | Germany | 3 days ago
has an open call for multiple fully funded PhD student positions. Deadline for submission of your application is December 8th 2026! Five Max Planck Institutes (Dresden, Hamburg, Halle and Stuttgart
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letter of motivation (max. 2 pages, Arial 11, line spacing 1.15). In your motivation letter, please explain how your background fits the required profile and how your research interests align with
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Leibniz Institute of Ecological Urban and Regional Development (IOER) • | Dresden, Sachsen | Germany | 16 minutes ago
independently conceived research proposals that align with IOER’s research. The programme aims to equip PhD candidates with the knowledge and skills necessary to successfully complete a doctoral dissertation
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for autonomous optimization and design of materials, structures and processes Multimodal scientific AI – integrating language, images, sensor data and simulations Alignment for scientific AI – scalable oversight
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personalised course programme that aligns seamlessly with the student's research trajectory. Beyond the conventional classroom setting, we actively encourage students to broaden their horizons through research